Query: - Techniken und Methoden, die im Software-Entwicklungsprojekt benötigt werden; die Inhalte werden bei der Vorbereitung des Projekts festgelegt Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [ 1.3344e-02, -3.1891e-02, -2.0538e-02, ..., 1.7365e-02, 3.1719e-03, -1.4481e-02], [-1.7670e-02, 1.6830e-02, 3.0689e-03, ..., 5.4512e-03, 3.4454e-02, 2.6566e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [ 0.0069, -0.0474, 0.0185, ..., 0.0232, 0.0413, 0.0427], [ 0.0816, 0.1115, 0.1430, ..., -0.0607, 0.0830, 0.1156], [ 0.0183, -0.0082, 0.0021, ..., 0.0596, -0.0076, -0.0128]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.0602, 0.0203, 0.0476, ..., 0.0709, 0.0783, 0.0415], [ 0.1830, 0.1692, 0.1009, ..., -0.0515, -0.0148, 0.0804], [ 0.0604, 0.0021, -0.0018, ..., 0.0542, -0.0041, -0.0052]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.0397, 0.0169, 0.1789, ..., 0.0644, -0.0329, 0.1536], [ 0.3166, 0.0471, 0.1151, ..., -0.0808, -0.0256, 0.0191], [ 0.0373, -0.0289, 0.0226, ..., 0.0090, -0.0557, -0.0161]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [-0.2407, 0.1983, 0.1556, ..., 0.2073, -0.1970, 0.0454], [ 0.0750, 0.1900, 0.0605, ..., -0.0260, -0.0497, -0.2843], [ 0.0055, 0.0127, -0.0083, ..., -0.0836, -0.1679, 0.0199]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [-0.3273, 0.1362, 0.1362, ..., 0.3145, -0.3802, 0.1284], [-0.0397, 0.2875, 0.1660, ..., 0.1444, -0.1528, -0.2161], [ 0.0332, 0.1080, 0.0324, ..., -0.0941, -0.2196, 0.1084]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [-0.2488, 0.2334, -0.0063, ..., 0.5604, -0.4782, 0.1591], [ 0.1110, 0.2124, 0.0601, ..., 0.2029, -0.2595, -0.1615], [ 0.1187, 0.1183, 0.0833, ..., -0.0076, -0.2954, 0.0488]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [-0.2610, -0.0255, -0.0913, ..., 0.5452, -0.5466, 0.3473], [-0.2042, 0.4231, 0.1344, ..., 0.4989, -0.2612, -0.0187], [ 0.0449, 0.0876, 0.3704, ..., 0.0883, -0.2708, -0.0775]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.4006, -0.0947, -0.1611, ..., 0.5073, -0.5442, 0.4887], [-0.1380, 0.5674, 0.0034, ..., 0.7479, -0.3426, -0.1500], [ 0.0524, 0.1872, 0.3028, ..., -0.0106, -0.2520, 0.0743]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-4.1465e-01, 2.4621e-02, -6.6401e-03, ..., 4.3440e-01, -6.7707e-01, 4.2666e-01], [-7.6348e-02, 5.5552e-01, 2.1516e-01, ..., 4.9354e-01, -4.4754e-01, -2.8046e-01], [ 6.9153e-02, -8.2658e-02, 3.1462e-01, ..., 1.5218e-01, -3.8560e-01, 3.7848e-02]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.3922, 0.0280, -0.2358, ..., 0.4163, -0.8747, 0.2276], [-0.0279, 0.4694, 0.0340, ..., 0.2409, -0.2828, -0.6227], [-0.0225, 0.1148, 0.0195, ..., 0.2354, -0.2500, 0.0208]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.4617, 0.1246, -0.2851, ..., 0.4256, -1.0517, 0.2154], [ 0.0197, 0.3603, -0.0421, ..., 0.2653, -0.6022, -0.4686], [ 0.0139, -0.0218, -0.1051, ..., 0.5144, -0.1847, 0.0323]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.2974, -0.0147, -0.0945, ..., 0.4220, -1.0275, 0.5405], [ 0.0864, 0.0296, -0.1722, ..., 0.4326, -0.8750, -0.3819], [ 0.0966, -0.4393, -0.3462, ..., 0.6157, -0.2707, -0.2134]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [-0.2119, -0.0020, -0.2063, ..., 0.4648, -1.1749, 0.7726], [-0.1647, -0.3506, -0.2941, ..., 0.3934, -0.8014, -0.2225], [ 0.2150, -0.4449, -0.1738, ..., 0.6455, -0.1058, -0.2824]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [ 0.2662, 0.3558, 0.4173, ..., 0.2606, -1.0965, 0.9151], [ 0.1518, -0.4462, 0.1005, ..., -0.1489, -0.8307, -0.6411], [ 0.4775, -0.1171, -0.1291, ..., 0.4147, -0.0842, -0.1730]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.1769, 0.7832, 0.6265, ..., 0.5291, -0.9287, 0.6309], [ 0.1636, -0.1559, -0.3874, ..., -0.4736, -0.2265, -1.0749], [ 0.5978, -0.2628, -1.0861, ..., 0.1943, 0.1261, -0.1810]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [ 0.1171, 0.8641, 0.6190, ..., 0.1882, -1.1480, 0.9628], [-0.0776, -0.2368, -0.7555, ..., -0.6507, -0.4964, -0.3102], [ 0.8497, -0.6779, -1.2999, ..., 0.5633, -0.1490, 0.3697]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-0.3071, 1.1338, 0.1763, ..., -0.0021, -0.8948, 0.7020], [ 0.0527, -0.3037, -0.9342, ..., -0.8846, -0.0652, -0.3108], [ 1.0284, -0.1242, -0.8037, ..., 0.6987, -0.4724, 0.4918]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [ 0.0681, 0.8117, 0.5805, ..., -0.0528, -0.9058, 0.5053], [-0.0049, -0.5633, -0.9521, ..., -0.8563, 0.2055, -0.4072], [ 0.8227, -0.3342, -1.1913, ..., 0.9603, -0.5597, 0.1812]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-0.2657, 1.2706, 0.8727, ..., -0.0221, -1.1589, 0.5560], [-0.2300, -0.4623, -1.2880, ..., -0.8934, 0.3851, -0.6455], [ 0.9547, -0.2643, -1.5496, ..., 1.0177, -0.5803, 0.0225]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [ 0.1391, 0.8728, 1.1317, ..., -0.0228, -1.5161, 1.4338], [-0.0134, -0.2095, -0.7583, ..., -1.7094, 0.5942, 0.1780], [ 1.6806, -0.2370, -1.5551, ..., 0.6167, -0.5077, 0.1490]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [ 0.3636, 1.3562, 0.9140, ..., -0.2457, -1.8213, 1.1480], [-0.2631, -0.3801, -0.9859, ..., -1.8367, 1.1390, -0.1739], [ 1.8709, -0.2693, -1.4116, ..., 0.7908, -0.7744, 0.0987]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [ 0.0582, 1.8533, 1.1053, ..., -0.6796, -1.9256, 1.5382], [-0.6789, -0.2645, -0.5712, ..., -2.0945, 1.3588, 0.2196], [ 1.6458, 0.0501, -0.9480, ..., 0.3314, -1.0105, 1.4925]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [ 0.0449, 2.1695, 0.3033, ..., -1.3733, -1.7934, 1.6283], [-0.4737, 0.1576, 0.1266, ..., -2.8182, 1.6551, 0.2925], [ 1.0856, 0.5691, -1.1310, ..., 0.8345, -1.4854, 1.2304]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 0.2623, 2.4740, -0.1216, ..., -1.4487, -1.5271, 2.2617], [-0.0153, 0.3395, 0.3477, ..., -3.3036, 2.1221, 0.1499], [ 0.6683, 0.1911, -0.9326, ..., 1.0319, -1.7107, 1.5540]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [ 0.1804, 1.8328, 0.2764, ..., -0.6864, -1.6672, 1.9865], [-0.1213, 0.4279, -0.2065, ..., -3.3918, 2.4159, 0.3501], [ 1.0494, -0.4176, -1.8091, ..., 0.9949, -1.6156, 1.7068]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [-0.2680, 1.1608, 0.4236, ..., -0.6514, -1.8459, 1.7907], [-0.2799, 0.0400, -0.5889, ..., -3.2905, 2.6490, 0.6026], [ 0.7612, -0.8879, -2.2381, ..., 0.8111, -2.1893, 1.6725]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [-0.8516, 0.0432, -0.4162, ..., -1.6667, -1.9084, 1.4546], [-0.2662, 0.5765, -1.5117, ..., -4.1444, 3.4839, 0.1810], [ 0.6355, -0.9301, -1.8775, ..., 1.3038, -2.0038, 2.1196]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 0.1404, -0.1801, 0.2396, ..., -2.2094, -1.2745, 0.8863], [-0.1647, 0.1582, -1.3789, ..., -3.7638, 3.3349, 0.2131], [ 0.9402, -1.4585, -2.2445, ..., 1.3561, -1.7883, 2.1691]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [-0.4074, 0.2659, -0.0707, ..., -2.8490, -1.8629, -0.1232], [-0.3013, -0.3708, -1.4948, ..., -4.4454, 2.8337, 0.4441], [ 0.6673, -1.7998, -1.5496, ..., 2.2153, -2.6104, 1.7706]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [-3.0823e-01, -7.0586e-01, -7.3340e-01, ..., -3.7164e+00, -2.1035e+00, -5.1496e-01], [ 8.3611e-02, -9.4942e-02, -1.4281e+00, ..., -4.7363e+00, 3.0231e+00, 1.3855e+00], [ 5.6952e-01, -1.4873e+00, -1.5706e+00, ..., 2.5254e+00, -2.5297e+00, 1.9802e+00]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [-0.8924, -0.0837, -0.0896, ..., -4.3938, -2.3015, 0.5705], [ 0.2337, -0.0359, -0.9970, ..., -5.3283, 3.3119, 2.0051], [ 0.7952, -0.9898, -1.5249, ..., 1.5161, -2.2549, 2.0610]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [-1.2926, -0.4081, 0.5557, ..., -5.3154, -2.3396, -0.3690], [-0.5728, 0.3703, -1.6873, ..., -6.1867, 3.2846, 2.3667], [ 0.3572, -1.4811, -1.6651, ..., 1.2623, -2.2308, 1.7896]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [-0.9262, 0.1790, 1.1763, ..., -5.8756, -1.9845, -0.2907], [-0.8750, 0.1034, -1.5590, ..., -6.0978, 3.2688, 3.4261], [ 0.1129, -0.8465, -1.7447, ..., 1.7994, -2.1557, 2.2760]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-0.9480, 0.3947, 1.5372, ..., -5.1295, -1.9421, -1.2911], [-0.6913, 0.7321, -1.5496, ..., -5.6139, 3.3011, 3.6039], [ 0.2819, -1.7521, -1.6447, ..., 2.0220, -2.6677, 2.5974]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-0.8252, 1.4204, 0.9366, ..., -5.1441, -2.6231, -1.4043], [ 0.2170, 0.8175, -2.8709, ..., -5.3584, 2.7561, 2.9810], [ 0.8260, -1.6577, -1.6922, ..., 1.9805, -2.5754, 2.5856]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [-0.4763, 0.6904, 1.6648, ..., -5.1492, -2.4170, -1.1611], [-0.6410, 0.3633, -3.7378, ..., -4.6922, 2.9258, 2.6647], [ 0.9470, -2.6910, -1.9374, ..., 1.8499, -1.9002, 2.0820]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 0.5825, 1.1395, 1.5603, ..., -6.3028, -3.5562, -0.7345], [ 0.2210, 0.6847, -3.7376, ..., -5.5152, 2.7881, 3.3625], [ 2.1906, -3.7312, -1.0418, ..., 2.0233, -0.8944, 1.5353]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [-0.3568, 0.9828, 2.2130, ..., -5.6059, -4.4929, -1.5263], [ 0.3886, 0.8623, -4.1250, ..., -4.8632, 3.5227, 2.1540], [ 2.8662, -4.3586, -0.7861, ..., 1.7214, -0.5103, 1.1703]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 0.5090, 2.2497, 0.9356, ..., -5.7664, -3.7226, -1.5503], [-0.9494, 0.7841, -3.4900, ..., -3.1856, 2.0588, 3.1818], [ 2.7101, -4.8494, 0.4672, ..., 2.1477, -1.0331, -0.1534]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-0.1317, 0.4861, 0.0173, ..., -0.8886, -0.7946, -0.4065], [-0.3007, 0.3943, -2.1125, ..., -0.5964, 0.5437, 0.5344], [-0.2276, -1.1072, -0.5497, ..., -0.0931, -0.6355, -0.2117]]]) Query: - Verständnis und Analyse eines gestellten Problems, einer Aufgabenstellung - Ermittlung des Stands der Technik - Entwicklung eines Konzeptes zur Lösung des Problems - Durchführung und Validierung der Lösung - Selbstständiges wissenschaftliches Arbeiten - Erkennen sich ergebender zukünftiger Ansätze - Verfassen einer wissenschaftlichen Abschlussarbeit - Ergebnispräsentation Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [ 6.1111e-03, 1.1940e-03, 2.2125e-03, ..., 1.1520e-02, -1.3947e-02, -3.6736e-03], [ 3.6602e-03, 3.6068e-03, 1.7075e-02, ..., -2.1160e-04, 4.7089e-02, 2.6932e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0420, -0.0470, -0.0136, ..., -0.0204, -0.0067, 0.0150], [-0.0239, 0.0368, 0.0023, ..., -0.0393, 0.0709, 0.0187], [ 0.0189, -0.0071, -0.0237, ..., 0.0289, -0.0282, 0.0174]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.0065, 0.0431, 0.0383, ..., 0.0263, 0.1444, 0.0433], [-0.0323, 0.0972, 0.0537, ..., -0.0916, 0.0116, 0.0928], [ 0.0750, -0.0118, 0.0090, ..., 0.0358, -0.0278, 0.0292]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [ 0.0201, 0.1773, 0.2075, ..., -0.0364, 0.2260, 0.0145], [ 0.0654, 0.2082, 0.1836, ..., -0.0466, 0.1188, 0.0960], [ 0.1075, -0.0714, 0.0597, ..., -0.0060, -0.0708, 0.0482]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.0791, 0.1895, 0.2286, ..., -0.0135, 0.3495, 0.1716], [ 0.0664, 0.3128, 0.1532, ..., -0.1145, 0.2011, 0.1166], [ 0.0932, -0.0547, 0.0509, ..., 0.0363, -0.1269, 0.1573]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.0938, -0.0575, 0.2086, ..., -0.1943, 0.0948, 0.0534], [ 0.1517, 0.1854, 0.0044, ..., -0.2705, 0.1869, 0.1206], [ 0.0635, -0.1633, 0.1353, ..., 0.1219, -0.3551, 0.3642]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.0177, -0.0547, 0.3734, ..., -0.4071, 0.0804, 0.1823], [ 0.0242, 0.2301, -0.0099, ..., -0.1194, 0.5072, 0.1244], [ 0.0143, -0.1415, 0.2125, ..., 0.0591, -0.3323, 0.3121]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [-0.0259, -0.1039, 0.0739, ..., -0.4653, -0.1098, 0.1955], [ 0.2794, 0.1013, -0.2391, ..., -0.0477, 0.0170, 0.0906], [-0.0551, -0.1170, 0.0964, ..., 0.3828, -0.6804, 0.4352]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.0210, 0.1021, 0.3224, ..., -0.5426, -0.2331, 0.1739], [ 0.4186, 0.1566, 0.0328, ..., -0.3608, -0.1187, 0.1111], [-0.0694, -0.1123, 0.0764, ..., 0.3577, -0.9883, 0.2902]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [ 3.1563e-03, -5.6262e-02, 3.1919e-01, ..., -5.9650e-01, -3.8177e-01, 1.6400e-01], [-3.3352e-02, -1.1369e-01, 1.5748e-01, ..., -5.6929e-01, -2.7828e-01, 8.4025e-02], [-3.5331e-01, -2.0026e-01, 7.1549e-02, ..., -8.7912e-02, -1.0632e+00, 3.6279e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [ 0.1527, 0.2106, 0.3523, ..., -0.5570, -0.6115, 0.3033], [-0.0695, 0.2540, 0.4079, ..., -0.8244, 0.0324, 0.0946], [-0.2153, -0.0179, -0.0477, ..., -0.1930, -1.0863, 0.5403]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.1178, 0.1474, 0.2736, ..., -0.5405, -0.6195, 0.3170], [-0.2438, -0.0356, 0.7647, ..., -0.4708, -0.1479, -0.1335], [-0.2964, -0.1170, 0.1013, ..., 0.1768, -1.1847, 0.3130]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.3063, 0.0960, 0.3916, ..., -0.4904, -0.7816, 0.3234], [-0.3314, 0.1307, 0.8894, ..., -0.6092, -0.3524, -0.3113], [-0.2957, -0.3761, 0.2469, ..., 0.2245, -1.0012, 0.4113]]]) 13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02, -2.0185e-01, 4.5267e-01], [-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01, -3.1000e-01, 1.2849e-01], [-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01, -6.6826e-01, -4.8370e-01], ..., [-2.0032e-01, -1.2338e-01, 6.0260e-01, ..., -3.5302e-01, -8.6577e-01, 4.1480e-01], [-4.5953e-01, -3.1379e-02, 8.4365e-01, ..., -3.8636e-01, -7.7923e-01, -2.9633e-01], [-8.0766e-01, -4.6404e-01, 4.8262e-01, ..., 1.4100e-01, -1.5063e+00, 2.1740e-01]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [-0.2355, -0.3076, 0.3881, ..., -0.4772, -0.6829, -0.1118], [-0.4541, -0.4602, 0.8055, ..., -0.3703, -0.3777, -0.6670], [-0.4197, -0.9293, 0.3032, ..., 0.2850, -1.5701, -0.0105]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [-0.1102, -0.2146, 0.6800, ..., -0.5698, -0.1368, -0.4871], [-0.1422, -0.1405, 1.0812, ..., -0.8595, -0.1322, -1.2523], [-0.1858, -0.8148, -0.0593, ..., 0.3228, -1.8875, -0.1843]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-0.1810, 0.0893, 0.0766, ..., -0.5527, -0.4281, -0.5783], [-0.7337, -0.0546, 0.6156, ..., -1.0373, -0.1272, -1.5687], [-0.2846, -1.5765, -0.3960, ..., 0.4755, -2.3613, 0.3883]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.1372, 0.2322, -0.1087, ..., -0.9740, -0.2192, -0.6724], [-1.1754, -0.0970, 0.8180, ..., -1.2943, 0.1012, -2.0819], [-0.2025, -1.5351, -0.2433, ..., 0.7643, -1.8272, 0.3626]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [ 0.1042, 0.3225, -0.0455, ..., -1.0511, -0.1475, -0.4730], [-1.2896, 0.4738, 0.8700, ..., -1.2960, 0.1166, -1.7183], [-0.0279, -1.4079, -0.0046, ..., 1.1322, -2.4392, -0.0231]]]) 19: tensor([[[ 3.0254e-01, -1.2240e+00, -1.1377e-01, ..., 1.3727e-01, -4.4626e-01, 8.6815e-01], [ 3.9813e-01, -1.5456e+00, 3.2579e-01, ..., -1.8750e-01, -1.6000e+00, -1.1540e+00], [ 4.8154e-01, -1.4289e+00, -3.1729e-02, ..., -7.0834e-03, -1.0063e+00, -1.0037e+00], ..., [-1.9288e-04, 4.1198e-01, -2.1003e-01, ..., -1.1002e+00, -1.1532e-01, -6.5070e-01], [-4.2789e-01, 6.8311e-02, 6.0422e-01, ..., -1.6989e+00, 2.9709e-02, -2.4070e+00], [ 4.5509e-02, -1.8266e+00, -7.7606e-01, ..., 1.2248e+00, -2.6481e+00, -1.6694e-01]]]) 20: tensor([[[ 4.6862e-01, -1.2657e+00, -4.1859e-02, ..., 9.1898e-02, -3.4358e-01, 8.8087e-01], [ 3.4819e-01, -1.9316e+00, -2.9615e-01, ..., 6.0651e-02, -1.7172e+00, -8.6003e-01], [ 4.5991e-01, -1.7459e+00, -2.5160e-01, ..., -1.4738e-01, -1.0419e+00, -7.4159e-01], ..., [ 5.4506e-01, 1.7161e-01, -8.8180e-01, ..., -1.4322e+00, 1.1535e-01, -9.9924e-01], [ 2.9477e-03, 7.3909e-01, 3.9258e-01, ..., -2.7656e+00, 7.6071e-01, -3.1099e+00], [ 5.2318e-02, -2.0867e+00, -1.7151e-01, ..., 1.0164e+00, -2.2236e+00, -5.2470e-01]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [ 0.2124, 0.3164, -0.3132, ..., -1.0374, 0.3234, -1.0969], [ 0.6047, 1.0734, 0.3912, ..., -2.3870, 0.4485, -3.0733], [-0.2617, -1.8999, -0.2345, ..., 1.0625, -2.9888, -0.1062]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [ 1.1058, 0.8698, -0.5755, ..., -1.3661, 0.6945, -0.6309], [ 1.1336, 1.4533, 0.4209, ..., -2.8900, 1.1155, -2.3194], [-0.8843, -1.9074, 0.6353, ..., 1.3420, -3.1098, 0.5069]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [ 1.5015, 1.7656, -0.5271, ..., -1.2624, 0.4438, -1.3582], [ 1.7489, 1.9417, 1.1196, ..., -3.7349, 1.5047, -3.0082], [-1.0964, -0.8771, 0.5730, ..., 1.7838, -3.0655, -0.0505]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 1.7955, 1.7624, -0.2210, ..., -0.8979, 1.4669, -1.5757], [ 1.7598, 1.6948, 1.0199, ..., -3.8458, 1.7697, -2.9213], [-0.9848, -0.3770, 1.3044, ..., 2.0763, -2.3734, -0.4867]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [ 1.5994, 1.7823, -1.0906, ..., -0.0412, 1.7821, -0.8750], [ 2.0812, 2.1172, 1.2566, ..., -4.8743, 1.9421, -3.0682], [-1.0039, 0.0262, 1.4275, ..., 1.7576, -2.5377, -1.3906]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [ 1.4366, 1.7409, -1.6487, ..., 0.2517, 2.4316, -1.1706], [ 2.2657, 2.0542, 1.8759, ..., -5.5952, 2.0317, -2.8473], [-0.8136, 0.3107, 1.2181, ..., 1.8692, -2.7522, -0.7841]]]) 27: tensor([[[ 5.1504e-01, -1.0300e+00, 1.9909e-01, ..., 2.2639e-01, -4.4911e-01, 3.0858e-01], [ 2.7256e-01, -1.9265e+00, -1.1439e-01, ..., -5.3034e-01, -3.5600e+00, 5.5347e-01], [ 5.4575e-01, -2.0804e+00, 5.1859e-01, ..., -1.0915e+00, -1.9407e+00, 1.2542e-01], ..., [ 8.5030e-01, 3.1977e+00, -1.7743e+00, ..., 1.1824e-02, 2.3568e+00, -1.1448e+00], [ 2.1957e+00, 2.1934e+00, 7.5490e-01, ..., -5.4935e+00, 3.9611e+00, -2.5368e+00], [-8.9509e-01, -2.8564e-03, 1.7505e+00, ..., 2.3737e+00, -1.6607e+00, -9.2997e-01]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 1.1502, 3.8739, -1.4079, ..., -0.9804, 1.9150, -1.1962], [ 3.3740, 2.2386, 1.0136, ..., -5.6095, 3.4038, -2.3766], [ 0.0475, 0.2609, 2.4953, ..., 1.9548, -1.9047, -1.1826]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 0.6981, 2.3410, -1.0693, ..., -1.9235, 1.8836, -1.1859], [ 3.7063, 1.7808, 1.5905, ..., -5.4703, 4.0453, -1.7472], [-0.2172, 0.2488, 1.8600, ..., 2.7203, -3.3375, -1.8443]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [ 5.2489e-01, 2.9373e+00, -9.4187e-01, ..., -2.8495e+00, 2.1334e+00, -7.2000e-01], [ 4.2761e+00, 2.3016e+00, 1.6153e+00, ..., -5.2009e+00, 3.8475e+00, -1.6408e+00], [ 4.0766e-03, 9.8916e-01, 2.0998e+00, ..., 3.2752e+00, -3.5885e+00, -2.1785e+00]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [ 0.7604, 1.8132, 0.0113, ..., -3.3304, 1.4213, -1.0019], [ 5.8615, 2.5278, 2.5118, ..., -5.5414, 4.1597, -2.1254], [-0.1166, 1.5274, 3.2274, ..., 2.5461, -3.2624, -1.6560]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [-0.3819, 2.2189, -0.5029, ..., -3.8352, 2.4015, 0.1645], [ 6.3849, 2.0266, 2.3206, ..., -6.0530, 4.1536, -2.0358], [-0.8091, 1.0662, 3.0726, ..., 2.0688, -3.2840, -2.1161]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [-1.5870, 1.7790, -0.8055, ..., -3.8901, 2.0608, 0.2605], [ 6.3158, 2.6035, 3.1467, ..., -5.9900, 4.0705, -1.5381], [-0.7545, 2.0721, 2.9061, ..., 2.5039, -3.7658, -1.1047]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-1.7486, 1.2801, -0.6162, ..., -4.0939, 2.7502, 0.0691], [ 6.9290, 2.0857, 3.6434, ..., -6.5145, 4.2774, -1.1752], [-0.7339, 2.0726, 3.6752, ..., 1.7470, -3.6093, -0.4465]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-1.5190, 0.5623, -0.8457, ..., -2.9911, 2.9899, -0.9417], [ 7.9691, 0.8393, 3.3738, ..., -6.9073, 3.4076, -1.8653], [-0.9707, 2.2637, 3.7645, ..., 1.8704, -3.0269, -1.7287]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [ 0.0951, -0.7822, 0.0112, ..., -2.5569, 2.0859, -0.1043], [ 9.5563, 0.0207, 2.5763, ..., -6.1449, 4.3405, -2.5937], [-0.8976, 1.6794, 4.0731, ..., 1.8662, -3.4456, -2.7742]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 0.0254, -0.8098, -0.1154, ..., -3.5461, 2.0185, 0.1540], [10.2479, 0.2402, 3.7616, ..., -7.0593, 4.4061, -1.5158], [-0.6306, 1.2509, 4.0843, ..., 1.6163, -3.2640, -3.1731]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 0.7655, -0.5426, -0.5697, ..., -3.1507, 2.3042, -0.6479], [11.4769, 0.5629, 2.8950, ..., -7.5464, 4.5938, -4.3534], [ 0.0510, 2.5967, 4.1032, ..., 0.2554, -2.5422, -3.8077]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 1.6754, -1.3056, -0.2261, ..., -1.8542, 1.3269, -0.5555], [13.7086, 1.1704, 4.3781, ..., -5.9798, 2.0960, -4.2648], [ 0.4311, 3.0621, 6.9154, ..., 0.4086, -4.5138, -5.3659]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [ 0.4700, -0.7851, -0.2677, ..., 0.3497, 0.8756, 0.4218], [ 1.9042, -0.2846, -0.3508, ..., -1.1321, -0.2664, -0.9701], [-0.3948, 0.1319, 0.5750, ..., -0.2891, -1.1615, -1.0425]]]) Query: - Relationale Datenbanken - Datenmodelle (z. B. E/R-Diagramme) und Datenmodellierung - Relationenalgebra - Datenbankentwurf - Structured Query Language (SQL) und deren Grundlagen - NoSQL und BigData - Anbindung von Datenbanken an moderne (web-basierte) Anwendungen über JDBC und JSON Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [ 5.5122e-03, 6.7215e-03, 2.3003e-03, ..., -1.0880e-02, -2.6340e-03, -1.4328e-02], [ 2.7878e-02, -9.0790e-03, -1.1391e-02, ..., 2.7222e-02, -6.9275e-03, -2.2903e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [ 0.0015, -0.0747, 0.0359, ..., -0.1004, -0.0330, -0.0060], [-0.0237, 0.0285, 0.0171, ..., 0.0665, -0.0418, 0.0366], [-0.0063, -0.0289, -0.0320, ..., 0.0374, -0.0205, -0.0215]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [-0.0472, -0.0774, -0.0085, ..., -0.1084, -0.0688, -0.0304], [ 0.0343, 0.0870, 0.0976, ..., 0.1690, -0.0947, 0.0121], [ 0.0344, -0.0187, -0.0346, ..., 0.0261, -0.0007, 0.0079]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.0193, -0.0925, 0.0298, ..., -0.1330, -0.1234, -0.1114], [ 0.0761, 0.0498, 0.0784, ..., 0.1884, -0.0599, 0.0009], [ 0.0304, -0.0581, -0.0274, ..., -0.0046, 0.0068, -0.0025]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.0422, -0.0467, -0.0098, ..., -0.1678, -0.0915, -0.1111], [ 0.0491, 0.1576, 0.0960, ..., 0.1045, -0.0105, 0.1167], [ 0.0258, -0.0556, -0.0430, ..., -0.0067, -0.0199, 0.0921]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.0154, -0.1365, -0.1646, ..., -0.2530, -0.0658, -0.0097], [ 0.0427, 0.3213, -0.0076, ..., 0.2521, 0.0872, 0.1961], [ 0.1492, -0.2047, -0.0898, ..., -0.0336, -0.0370, 0.1421]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [-0.0566, -0.0425, -0.2790, ..., -0.2126, 0.1505, -0.0080], [-0.0664, 0.2760, -0.0018, ..., 0.2970, 0.1859, -0.1387], [ 0.2535, -0.0729, -0.2175, ..., -0.0067, 0.0611, 0.1607]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.0831, 0.0078, 0.0284, ..., -0.1483, 0.1970, 0.0564], [-0.2017, 0.3514, 0.2186, ..., 0.1155, 0.2340, -0.2349], [ 0.3577, -0.0745, -0.0257, ..., 0.0092, 0.0657, 0.2289]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [ 0.3947, -0.1095, -0.0813, ..., -0.0743, 0.0890, 0.0270], [ 0.0226, 0.3638, -0.1021, ..., 0.1572, 0.0351, -0.3567], [ 0.6275, -0.2691, -0.0975, ..., 0.0202, -0.1592, 0.2733]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [ 3.6271e-01, 1.2119e-01, -2.7959e-01, ..., -2.0293e-01, 2.1802e-01, -8.5566e-02], [ 1.0840e-02, 3.7504e-01, -1.1996e-01, ..., 3.3768e-01, -2.4579e-03, -5.0539e-01], [ 4.0429e-01, -2.2633e-01, -1.5222e-01, ..., -2.7472e-02, 7.3961e-02, 6.8930e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [ 0.5063, -0.1321, -0.5802, ..., -0.0460, 0.3617, 0.0255], [-0.1473, -0.0551, -0.2273, ..., 0.5800, -0.3334, -0.1116], [ 0.4060, -0.2487, -0.3703, ..., 0.3153, -0.1058, 0.8158]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [ 0.3111, -0.1380, -0.5345, ..., 0.1779, 0.4709, -0.0219], [-0.4888, -0.0558, -0.2755, ..., 0.3622, -0.2475, 0.0628], [ 0.2561, -0.0532, -0.4510, ..., 0.2544, -0.1149, 0.8719]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [ 0.2311, -0.3620, -0.6903, ..., 0.3850, 0.4025, -0.0670], [-0.0727, 0.1431, -0.1661, ..., 0.5706, -0.6223, -0.0953], [ 0.4716, -0.3997, -0.2679, ..., 0.4808, -0.4622, 0.6338]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [-0.0859, -0.4541, -0.7863, ..., 0.6186, 0.1252, -0.4191], [-0.3356, -0.1839, -0.1720, ..., 0.9124, -0.7675, -0.5880], [ 0.3265, -0.2299, -0.3092, ..., 0.3233, -0.8572, 0.7809]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [ 0.3085, -0.5019, -0.4538, ..., 0.4254, -0.0192, -0.3304], [-0.4167, -0.3514, -0.3005, ..., 0.6883, -0.6932, -0.6715], [ 0.6593, -0.4328, -0.0781, ..., 0.2429, -0.7662, 0.4267]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [-0.1409, -0.3259, -0.3606, ..., 0.5684, 0.0154, -0.5155], [-0.2114, -0.1444, -0.2275, ..., 0.8932, -0.7446, -0.5262], [ 0.7949, -0.5304, -0.6832, ..., 0.5363, -1.0480, 0.2443]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-0.0336, -1.0119, -0.1057, ..., 0.3325, -0.0408, -0.6378], [-0.2621, -1.0209, -0.1818, ..., 0.7850, -0.6759, -0.8472], [ 0.6548, -1.0037, -0.7134, ..., 0.4560, -1.4777, 0.4296]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.1438, -0.9720, -0.2504, ..., 0.1387, -0.1843, -0.8849], [-0.5196, -1.0402, 0.2672, ..., 0.5375, -0.8259, -1.1496], [ 0.1071, -1.0305, -0.5094, ..., 0.4807, -1.1405, 0.6018]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [ 0.3984, -0.8172, -0.4815, ..., -0.2873, -0.0675, -0.3616], [-0.4931, -1.0462, 0.7318, ..., 0.3173, -0.9115, -0.9990], [-0.0738, -1.0685, -0.4139, ..., 0.7847, -1.7440, 0.1337]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [ 0.4640, -1.3378, -0.6916, ..., -0.4588, 0.0748, -0.5223], [-0.4107, -0.9621, 0.7489, ..., -0.4144, -1.1491, -1.1441], [-0.0979, -1.8422, -1.3447, ..., 0.8536, -1.5296, 0.0343]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [ 1.0745, -1.7259, -1.3564, ..., -0.7578, 0.4374, -1.2591], [ 0.3336, -0.7326, 0.9374, ..., -0.8490, -0.3070, -1.3561], [ 0.2103, -2.2124, -1.0510, ..., 0.8573, -1.2803, -0.1788]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [ 1.7224, -2.3192, -1.2581, ..., -1.0818, 0.3128, -1.5081], [ 0.7569, -0.6412, 1.6853, ..., -0.6861, -0.1547, -1.2855], [ 0.3425, -2.5382, -0.9090, ..., 0.8222, -1.3168, -0.2051]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [ 1.5406, -2.3499, -1.1381, ..., -1.3887, 0.9078, -2.0187], [ 1.0296, 0.2166, 1.4793, ..., -1.2495, 0.0065, -1.4128], [-0.5841, -2.4565, 0.1352, ..., 1.0134, -0.9551, 0.8040]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [ 2.0272, -2.8587, -1.8141, ..., -1.8719, 0.8422, -2.2480], [ 1.2573, -0.0482, 1.8541, ..., -0.4007, 0.1703, -1.5591], [-0.8969, -2.1192, -0.2011, ..., 0.9342, -0.6793, 0.6907]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 2.4335, -3.0858, -1.5646, ..., -2.6961, 1.5760, -3.1334], [ 1.5146, -0.5773, 1.7668, ..., -0.9892, 0.8178, -2.5088], [-0.8122, -2.1049, 0.0907, ..., 1.3625, -0.5188, 0.5540]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [ 2.2389, -2.6516, -1.7313, ..., -3.5451, 0.7784, -2.5426], [ 1.3664, -0.2479, 1.9890, ..., -0.6102, 0.3697, -1.6883], [-0.3629, -1.4190, 0.0354, ..., 0.7464, -0.5841, 0.5724]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [ 1.6058, -3.5167, -2.9901, ..., -4.3778, 0.7809, -2.0534], [ 1.5379, 0.0675, 1.9681, ..., -0.4747, -0.1987, -1.2384], [-0.4791, -1.6156, -0.4452, ..., 0.7358, -0.6428, 1.0081]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [ 2.0544, -4.0103, -3.2586, ..., -5.0365, 1.7615, -2.1711], [ 1.6425, 0.5369, 2.5264, ..., -0.1338, 0.4678, -0.4329], [-0.9049, -2.2326, -0.1932, ..., 1.1486, 0.1523, 1.3562]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 2.8724, -5.2144, -3.4477, ..., -4.7133, 2.0928, -1.3876], [ 2.4583, 0.5690, 2.5468, ..., 0.6748, 1.0607, -0.7116], [-0.2890, -2.3362, 0.2185, ..., 1.3443, 0.3686, 0.9545]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 2.7922, -5.5534, -3.2990, ..., -4.7326, 1.6125, -1.7753], [ 2.2917, 0.7790, 2.3169, ..., 0.4110, 1.4776, -1.1710], [ 0.0467, -2.2430, -0.0200, ..., 1.1722, -0.6057, 0.4727]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [ 3.2437e+00, -5.5734e+00, -2.7944e+00, ..., -4.2747e+00, 9.4699e-01, -2.0275e+00], [ 2.0698e+00, 3.1514e-01, 1.9243e+00, ..., 5.6490e-01, 1.2492e+00, -1.5422e+00], [ 1.3638e-01, -1.5598e+00, -4.2947e-02, ..., 1.4609e+00, -4.0798e-01, -1.6527e-01]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [ 2.6913, -5.1736, -1.7705, ..., -4.8726, 1.4112, -1.4812], [ 1.7269, 1.0636, 2.5517, ..., 0.6263, 2.0222, -1.9168], [ 0.2253, -1.3093, 1.6590, ..., 0.6327, -0.1800, 0.3339]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 4.2757, -5.3875, -2.1035, ..., -4.2579, 0.6207, -1.2725], [ 2.0070, 0.9310, 2.4771, ..., 1.2323, 2.2327, -2.2505], [-0.5983, -1.8033, 1.4861, ..., -0.1842, -0.0389, -0.3405]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [ 3.8237, -4.4212, -1.6342, ..., -4.1586, 0.2205, -0.9428], [ 1.6933, 1.7335, 3.1962, ..., 0.9122, 2.3590, -1.4135], [-0.3367, -0.3322, 1.7645, ..., 0.4584, 0.3427, 0.5675]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [ 3.1211, -4.5176, -1.4634, ..., -3.1287, 0.5241, -0.3055], [ 1.4275, 1.9958, 3.4306, ..., 1.3041, 1.5726, -0.9807], [-0.4230, -0.0858, 2.6041, ..., -0.1064, 0.5931, 0.5887]]]) 35: tensor([[[ 8.0000e-01, -7.8714e-01, 4.1892e-01, ..., 1.2866e-01, -1.0022e+00, -4.4760e-01], [ 1.4832e+00, -2.1899e+00, -7.5929e-01, ..., -9.0991e-01, -4.0092e+00, -7.0389e-02], [ 1.1589e+00, -2.4299e+00, -3.6147e-02, ..., -9.1479e-01, -2.3421e+00, 3.9657e-01], ..., [ 2.9366e+00, -4.8582e+00, -3.8932e-01, ..., -3.2909e+00, 9.1116e-01, -9.3582e-01], [ 3.2877e-01, 1.6028e+00, 3.3339e+00, ..., 1.6486e+00, 2.4844e+00, -3.6424e-01], [-2.7594e-01, 4.7155e-03, 2.2894e+00, ..., -1.2476e+00, 1.1052e+00, -3.9211e-01]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [ 4.0843, -5.8631, -1.4385, ..., -3.1474, -0.0076, -1.6990], [ 1.0872, 0.5145, 2.5873, ..., 2.0395, 3.5592, -0.0820], [-0.1140, -0.7120, 2.9080, ..., -1.4371, 1.4690, -0.7021]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 3.4505, -5.9665, -1.3381, ..., -4.1004, 0.0435, -1.9977], [ 0.8749, 1.2210, 2.8130, ..., 1.5254, 3.4783, -0.7605], [-0.3114, -1.1007, 3.4742, ..., -1.3636, 1.8859, -1.4889]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 2.7322, -7.3290, -0.7014, ..., -3.4228, 0.7402, -1.2352], [ 1.0696, 1.5431, 2.0227, ..., 1.9928, 4.8737, -3.1363], [ 0.1865, -0.9694, 4.0658, ..., -2.8617, 2.8727, -2.0334]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 3.3146, -7.7611, -0.8335, ..., -2.3387, -0.6730, 0.1157], [ 2.6634, 1.0326, 1.4465, ..., 2.5672, 5.1083, -0.5765], [ 1.1087, -1.4600, 5.5458, ..., -2.2555, 1.7531, -3.5845]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [ 0.2815, -1.4711, -0.7818, ..., -0.4549, 0.0441, 0.6582], [ 0.4560, 0.5943, -0.8763, ..., 0.4542, 2.0255, 0.0663], [-0.2933, -0.6003, 0.3018, ..., -0.7392, -0.2702, -1.0215]]]) Query: - Überblick über das Gebiet der Informatik (Aufgaben, Teilbereiche, Tätigkeiten. . . ) - Geschichte der Informatik - Grundlagen zu Rechnerarchitekturen (Komponenten des Rechners: RAM, ROM, CPU, . . . ) - Zahlensysteme und Kodierung - Betriebssysteme (Einführung), Kommandozeile (Shell), Graphische Oberflächen - Rechnernetze und Internet (Einführung) - Prinzipien IT-Sicherheit (Einführung) - Aktuelle und zukünftigen Herausforderungen der IT (Mobile Systeme, IOT, Cloud Computing, Big Data Ana- lysis, . . . ) Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-1.7729e-03, 6.2227e-04, 4.5300e-04, ..., -7.2632e-03, 4.3449e-03, -1.1719e-02], [-3.6896e-02, 4.3030e-03, 9.6083e-04, ..., 3.0640e-02, 8.6365e-03, 2.9755e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0487, 0.0316, -0.0832, ..., -0.0294, 0.0168, -0.0415], [-0.1274, -0.0433, 0.0065, ..., 0.0752, 0.0470, 0.0571], [-0.0044, -0.0195, -0.0397, ..., 0.0285, -0.0079, 0.0215]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [-0.0624, 0.0157, 0.0146, ..., -0.0102, 0.0686, -0.0479], [-0.1614, -0.0878, 0.0189, ..., 0.0244, 0.0864, 0.0844], [ 0.0436, -0.0423, -0.0541, ..., 0.0183, -0.0354, 0.0408]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.0423, -0.0357, 0.1674, ..., -0.1069, -0.0232, -0.1214], [-0.2229, -0.0490, 0.0466, ..., -0.0107, 0.1551, 0.1111], [ 0.1009, -0.0555, -0.0266, ..., 0.0200, -0.0433, 0.1187]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [-0.0154, -0.0239, 0.1742, ..., -0.0814, 0.0355, -0.1469], [-0.2575, -0.1643, 0.0486, ..., 0.0349, 0.1008, 0.1724], [ 0.0671, -0.1255, 0.0174, ..., 0.0219, -0.0828, 0.1891]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.2310, -0.1892, 0.3003, ..., -0.0266, 0.1695, -0.3378], [-0.2391, -0.1688, 0.1731, ..., 0.0146, 0.1724, 0.1834], [ 0.1654, -0.1895, 0.0222, ..., -0.0970, -0.0705, 0.3589]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.2822, -0.0786, 0.3713, ..., 0.0217, 0.4516, -0.2280], [-0.3600, -0.0130, 0.2026, ..., 0.2136, 0.4885, 0.2258], [ 0.1984, -0.1533, 0.1190, ..., -0.0493, -0.0516, 0.3498]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.2049, -0.1723, 0.5829, ..., 0.0930, 0.6030, 0.1119], [-0.4342, 0.1423, 0.3438, ..., 0.4201, 0.3497, 0.2935], [ 0.1085, -0.1244, 0.4269, ..., 0.1036, -0.1614, 0.3859]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [ 0.0601, -0.4529, 0.5977, ..., 0.2704, 0.6081, 0.0398], [-0.3409, 0.0597, 0.1503, ..., 0.6129, 0.4104, 0.5767], [ 0.1095, -0.3138, 0.5480, ..., 0.0467, -0.3703, 0.5734]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-3.4979e-02, -5.2742e-01, 5.2310e-01, ..., -2.4126e-01, 5.4443e-01, -9.0865e-02], [-2.8775e-01, -3.0059e-02, 6.6131e-02, ..., 5.9684e-01, 4.2919e-01, 3.2328e-01], [-1.1677e-01, -4.3646e-01, 5.2148e-01, ..., -3.4384e-02, -1.6658e-01, 5.4950e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [ 0.0908, -0.7041, 0.5025, ..., 0.0603, 0.5701, -0.3354], [-0.1572, -0.3152, 0.2057, ..., 0.7458, 0.3839, 0.1924], [ 0.1460, -0.5042, 0.3632, ..., 0.3181, -0.4711, 0.5347]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [ 0.1870, -0.7850, 0.0954, ..., 0.4523, 0.3732, -0.7597], [-0.6661, -0.5753, 0.2888, ..., 0.7781, -0.3396, 0.2975], [ 0.2442, -0.2960, 0.4526, ..., 0.4141, -0.8619, 0.4545]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.2573, -0.9501, 0.2498, ..., 0.2383, 0.3417, -0.5579], [-0.6739, -0.5578, 0.4354, ..., 0.6997, -0.3185, 0.4404], [ 0.2951, -0.4872, 0.4017, ..., 0.5815, -0.8658, 0.5464]]]) 13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02, -2.0185e-01, 4.5267e-01], [-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01, -3.1000e-01, 1.2849e-01], [-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01, -6.6826e-01, -4.8370e-01], ..., [-3.9513e-01, -1.6859e+00, -5.1570e-02, ..., 8.2555e-01, 1.7392e-01, -1.2749e+00], [-9.4996e-01, -7.9778e-01, 3.9841e-01, ..., 9.3680e-01, -6.7405e-01, 1.0086e-01], [ 4.9768e-01, -5.0312e-01, 4.6794e-01, ..., -2.3904e-03, -8.2325e-01, 4.9596e-01]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [ 0.3434, -1.5932, -0.3821, ..., 0.7457, 0.0843, -1.6137], [-0.4891, -1.2672, 0.4510, ..., 0.9880, -0.8000, -0.2486], [ 0.6488, -0.4812, 0.3225, ..., 0.6868, -0.8247, 0.0708]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.0767, -1.4851, -0.5595, ..., 1.1854, 0.1608, -1.2619], [-0.4946, -1.3874, 0.1716, ..., 0.9384, -0.7294, -0.6871], [ 1.0898, -0.9209, 0.0217, ..., 0.8268, -1.2059, -0.0187]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [ 0.0313, -1.5529, -0.5310, ..., 0.7778, 0.1782, -1.1722], [-0.7961, -1.3412, -0.4557, ..., 0.4125, -0.5055, -0.8024], [ 0.7343, -1.3181, 0.0357, ..., 0.5796, -1.3605, 0.3581]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.0674, -2.0106, -0.3442, ..., 0.3227, -0.0841, -1.7046], [-1.3118, -1.5217, -0.0333, ..., 0.3593, -0.2291, -0.9487], [ 0.2240, -1.4341, 0.2767, ..., 0.4151, -1.0987, 0.3552]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-0.0700, -2.0770, -0.3796, ..., -0.5003, -0.3007, -1.6296], [-1.3169, -1.5227, -0.2144, ..., 0.2041, -0.5120, -1.0864], [-0.0559, -1.5044, 0.5241, ..., 0.8432, -1.6726, -0.0066]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-0.0710, -1.9484, -0.5845, ..., -0.4786, -0.3704, -1.5239], [-0.7950, -1.9236, -0.9073, ..., -0.0568, -0.7747, -0.4756], [ 0.1711, -2.0063, -0.2549, ..., 1.1533, -1.7463, 0.0954]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.3566, -2.0543, -0.8775, ..., -0.3080, -0.1289, -1.8799], [-0.8121, -2.0070, -1.2419, ..., 0.0352, -0.3943, -0.7831], [-0.0904, -2.1683, 0.1193, ..., 0.7565, -1.2825, -0.4311]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.2092, -2.0488, -0.9050, ..., -0.1838, -0.8750, -2.0919], [-1.0629, -2.3751, -1.3278, ..., 0.1622, -1.0180, -1.0523], [-0.3484, -2.1544, 0.3798, ..., 1.2386, -1.2003, -0.5082]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.4900, -2.0512, -0.6067, ..., -0.6038, -1.6726, -1.8185], [-1.1825, -2.7834, -1.6562, ..., -0.0554, -0.5183, -0.4456], [-0.6605, -2.3611, 1.0127, ..., 1.1364, -0.9881, 0.3816]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [ 0.0386, -2.0876, -0.4375, ..., -0.7566, -1.6035, -1.5403], [-0.8545, -3.2322, -1.4846, ..., -0.9535, -0.7597, -0.4727], [-0.7628, -2.2089, 0.6294, ..., 0.9142, -1.1937, 0.1119]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 0.2039, -1.7337, 0.0576, ..., -0.8486, -1.3979, -1.2960], [-0.7175, -3.5684, -1.4744, ..., -1.9277, -0.2708, -0.5821], [-1.2820, -2.3018, 1.0179, ..., 1.0204, -1.1091, -0.1228]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [-0.2211, -1.3330, 0.1727, ..., -0.7456, -1.8531, -1.4993], [-0.6862, -3.4604, -1.6881, ..., -2.4775, -0.2951, -0.3663], [-1.0962, -1.9173, 0.9787, ..., 1.0975, -1.2001, -1.0184]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 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-0.9007, -0.2794, -0.9946], [-1.4093, -2.9542, 0.2986, ..., 1.9513, -0.8055, -0.6720]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 0.5631, -2.0362, -0.2345, ..., 1.0806, -1.0605, -2.4169], [-1.2330, -6.1474, -2.2815, ..., -0.9398, -0.1821, -1.8977], [-1.5207, -3.2455, 0.1808, ..., 2.1397, -1.5428, -1.2386]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [ 9.6453e-01, -2.0929e+00, -5.1517e-01, ..., 5.0027e-01, -9.6261e-01, -2.2955e+00], [-1.2642e+00, -5.7533e+00, -2.4969e+00, ..., -9.5328e-01, 1.4433e-01, -1.8461e+00], [-1.7467e+00, -2.7947e+00, 2.6325e-01, ..., 2.2736e+00, -1.4802e+00, -1.4982e+00]]]) 31: tensor([[[ 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-1.0756, -1.9909]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 2.2596, -2.5020, -2.3322, ..., 3.8864, -2.0182, -1.3758], [-0.2417, -6.5341, -4.2662, ..., 2.6851, -1.3563, -3.4518], [-1.7476, -4.3517, 2.1940, ..., 2.7887, -2.8661, -1.7227]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [ 0.2685, -0.4027, -1.1295, ..., 0.8217, -0.2222, -0.2424], [ 0.0381, -0.3822, -0.7189, ..., 0.9677, 0.1445, -0.5441], [-0.6859, -0.8524, -0.3424, ..., 0.0420, -0.8124, -0.4506]]]) Query: - English for meetings and negotiation - Business English - Writing technical reports and project documentation in English - Giving presentations and presenting project results in English - Small talk in English 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-2.3124, -3.3956, ..., -2.8428, -2.7328, -3.9740], [ 3.2790, -1.5665, -2.2524, ..., -3.7352, -2.6804, 3.0432]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 5.4348, 6.8611, -1.6130, ..., -5.1784, -4.6239, -1.2114], [ 5.0587, -1.0823, -3.7525, ..., -4.1044, -3.1685, -3.9172], [ 4.7822, -1.5043, -1.9351, ..., -2.6796, -3.2598, 2.0049]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [ 1.5584, 1.7198, -0.0031, ..., -0.3266, -0.3783, 0.2575], [ 1.7250, 0.4386, -0.9148, ..., -0.3658, 0.2130, -0.3298], [ 0.6263, -0.2431, -0.6866, ..., -0.7611, -0.9270, -0.0489]]]) Query: - Die Studierenden stellen die Arbeit vor, die sie in ihrem Projekt durchgeführt haben. 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..., -1.4721e-01, -7.2949e-01, 1.1741e+00]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [ 0.1247, 0.5215, 0.0558, ..., -1.5358, -0.3021, -0.3601], [-0.2007, -0.2717, -0.2405, ..., -0.2888, -0.1204, 0.4289], [-2.0412, -0.9054, -0.4740, ..., -0.1994, -0.6833, 1.1523]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [ 0.0873, 0.6526, 0.1854, ..., -1.2423, -0.3979, -0.4376], [-0.4590, -0.3074, -0.1443, ..., -0.0594, -0.2804, 0.2656], [-2.0195, -0.8637, -0.3905, ..., -0.2298, -0.6958, 1.2480]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [ 0.3236, 0.8572, -0.1611, ..., -1.1201, -0.5579, -0.6312], [-0.3309, 0.0478, 0.0214, ..., -0.1267, -0.3023, 0.6680], [-2.0272, -0.8741, -0.3121, ..., -0.2877, -0.6839, 1.2252]]]) 13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02, -2.0185e-01, 4.5267e-01], [-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01, -3.1000e-01, 1.2849e-01], [-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01, -6.6826e-01, -4.8370e-01], ..., [ 3.2609e-01, 7.7901e-01, -3.4039e-01, ..., -1.0664e+00, -6.5140e-01, -3.1590e-01], [-3.1236e-01, -1.2953e-01, 2.5993e-01, ..., 7.1964e-02, -6.1743e-01, 7.3488e-01], [-1.8868e+00, -9.4127e-01, -2.3666e-01, ..., -2.2687e-01, -7.0906e-01, 1.2852e+00]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [-0.0063, 0.4070, -0.1985, ..., -1.3534, -0.9196, 0.1621], [ 0.0634, 0.0338, 0.3574, ..., -0.2156, -0.5557, 0.3795], [-1.7913, -0.9065, -0.1448, ..., -0.2811, -0.7578, 1.2812]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.1132, 0.1546, -0.2348, ..., -1.4174, -0.4448, 0.1279], [-0.4831, -0.0551, 0.0268, ..., -0.5099, -0.3765, 0.5799], [-1.7238, -0.9412, -0.0509, ..., -0.1061, -0.6850, 1.4223]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-0.3256, -0.0484, -0.9621, ..., -2.2794, -0.3627, 0.6501], [-0.7240, 0.4822, -0.0807, ..., -0.7488, -0.3877, 0.6784], [-1.6536, -0.9451, 0.0100, ..., -0.1007, -0.6550, 1.4749]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-0.3827, 0.0736, -0.9467, ..., -2.2903, -0.0651, 0.3620], [-0.5899, 0.8027, 0.0267, ..., -0.9169, -0.2217, 0.0374], [-1.5875, -0.8095, 0.1168, ..., -0.0653, -0.8495, 1.5153]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-0.2091, -0.0582, -1.5287, ..., -2.4366, -0.2942, 0.3135], [-1.3323, 0.7136, 0.2691, ..., -0.9239, -0.6072, -0.8587], [-1.5648, -0.7221, 0.1520, ..., -0.1347, -0.8408, 1.5851]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-0.3700, 0.0790, -1.6916, ..., -2.7165, -0.1098, -0.3699], [-1.4807, 0.7789, -0.0879, ..., -0.9079, -0.7372, -0.4925], [-1.7380, -0.7839, 0.3383, ..., 0.0252, -0.8616, 1.5790]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.7780, 0.3612, -2.2245, ..., -2.9293, 0.5101, 0.0365], [-2.2266, 1.1157, 0.3869, ..., -1.5855, -0.5591, -0.5773], [-1.7055, -0.7155, 0.3722, ..., 0.0491, -0.8297, 1.5633]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.8434, 0.2925, -2.2833, ..., -3.0583, 0.0829, -0.1878], [-1.6671, 1.0198, 0.6963, ..., -1.3909, -1.2599, -0.6421], [-1.5209, -0.5938, 0.5010, ..., 0.1689, -0.7603, 1.3671]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.9216, 0.6859, -2.1008, ..., -3.0977, 0.2049, -0.4144], [-2.2958, 1.2827, 1.3521, ..., -1.4920, -1.9741, 0.3173], [-1.4158, -0.6437, 0.4720, ..., 0.0322, -0.6084, 1.2704]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-1.3139, 0.8315, -2.2472, ..., -2.9804, -0.0820, -0.5632], [-2.6016, 1.3112, 0.6244, ..., -1.5710, -1.9640, 0.2564], [-1.4321, -0.5820, 0.4312, ..., 0.0726, -0.7240, 1.1261]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [-1.1473, 0.9544, -1.8073, ..., -3.3701, 0.6021, -1.1648], [-2.6566, 1.9006, 0.3498, ..., -2.6506, -1.4260, -0.4334], [-1.3249, -0.3637, 0.4565, ..., 0.1738, -0.5837, 1.0818]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [-0.5326, 1.3658, -1.6635, ..., -3.6098, 1.4978, -1.2271], [-3.0376, 2.0532, -0.2700, ..., -3.0612, -1.4157, -1.8005], [-1.2805, -0.2800, 0.3460, ..., 0.3102, -0.6308, 0.9620]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [-0.3062, 1.1061, -2.0798, ..., -3.6072, 0.9193, -0.9779], [-2.2668, 2.0113, -0.3437, ..., -1.7175, -2.2222, -2.1491], [-1.3929, -0.2999, 0.3220, ..., 0.3445, -0.6731, 0.8930]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [-0.7812, 1.2774, -2.6497, ..., -4.1146, 1.3070, -1.0650], [-1.3812, 2.0349, 0.1347, ..., -1.4919, -0.5718, -2.7548], [-1.3175, -0.1759, 0.3085, ..., 0.2312, -0.6923, 0.7700]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [-0.3616, 2.4763, -2.3346, ..., -3.7072, 0.5927, -1.0813], [-0.7618, 2.6444, 0.0855, ..., -2.0002, -0.7370, -3.6717], [-1.2798, -0.1835, 0.2567, ..., 0.2055, -0.7821, 0.6385]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 0.3123, 2.1778, -2.9448, ..., -4.2195, 0.4846, -1.4622], [-0.7248, 3.6578, -0.6556, ..., -3.3541, -2.3005, -5.0432], [-1.2628, -0.1232, 0.2391, ..., 0.1820, -0.7166, 0.5295]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5185e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5760e-03], ..., [ 2.7111e-01, 2.8599e+00, -3.5875e+00, ..., -4.3285e+00, 6.8919e-01, -2.0124e+00], [-7.9051e-01, 5.0638e+00, -1.2121e+00, ..., -3.0400e+00, -2.0513e+00, -5.6133e+00], [-1.2363e+00, -1.1085e-01, 1.3271e-01, ..., 1.0423e-01, -7.2271e-01, 4.3488e-01]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [ 0.6516, 2.7482, -3.5039, ..., -4.9964, 1.5581, -1.8802], [ 0.2962, 6.0264, -0.3587, ..., -3.2570, -1.2621, -5.2897], [-1.1365, -0.0761, 0.0758, ..., -0.0166, -0.6873, 0.4107]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 0.6485, 2.5032, -4.0874, ..., -5.8010, 1.6875, -1.3162], [ 0.3994, 6.6089, -0.3857, ..., -4.0690, -1.1263, -5.1760], [-1.1053, 0.0345, -0.0110, ..., -0.0714, -0.6341, 0.3062]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [ 0.6526, 1.9058, -3.4074, ..., -5.8650, 1.8857, -0.0278], [-0.1454, 7.6247, 0.7713, ..., -5.3342, -0.5902, -4.7405], [-1.3517, -0.0644, 0.2302, ..., -0.2760, -0.2542, 0.3805]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [ 0.4809, 2.1281, -3.0718, ..., -5.6935, 1.4950, -0.1685], [-0.0746, 7.8515, 1.0757, ..., -4.7387, -1.0454, -5.0983], [-1.6474, -0.2032, 0.3310, ..., -0.3601, -0.1654, 0.2689]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [ 0.8881, 2.5851, -3.6456, ..., -6.1885, 1.2963, -1.5362], [ 0.9818, 7.7238, 0.6269, ..., -6.1361, -0.3095, -5.6264], [-1.3262, -0.0615, 0.5307, ..., -0.4797, -0.2088, 0.3896]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [ 0.7461, 1.4271, -4.1591, ..., -5.8778, 1.1293, -2.3668], [ 1.8087, 6.6289, 0.4276, ..., -5.8458, -0.7458, -5.7743], [-1.3178, 0.1217, 0.1664, ..., -0.3842, -0.4523, 0.6429]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 1.1313, 2.2636, -3.6805, ..., -5.2630, 0.4008, -1.5084], [ 1.7066, 7.6131, 0.4980, ..., -4.8408, -1.1042, -5.4813], [-1.3259, 0.5897, 0.4915, ..., -0.3650, -0.5739, 0.4091]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 1.1155, 1.5973, -3.6675, ..., -5.4247, 1.2067, -3.4170], [ 0.9700, 9.6785, 1.0319, ..., -6.0327, -1.6970, -3.8280], [-2.1905, -0.0180, 0.7750, ..., -0.8254, 1.3877, -0.1687]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 0.9962, 1.9322, -4.1520, ..., -3.4251, -1.8255, -2.3749], [ 0.6422, 8.6550, 1.7368, ..., -4.1500, -3.3253, -3.5871], [-1.3970, 0.3053, 0.2171, ..., -0.6177, 0.9071, -0.9128]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-0.1141, 0.0607, -2.0946, ..., -1.1622, -0.9038, -0.9474], [-0.5834, 0.9868, 0.2401, ..., -0.2301, -0.6555, -0.6881], [-0.0633, 0.0692, 0.2187, ..., -0.2508, -0.0306, -0.2867]]]) Query: - Mengenlehre - Relationen - Funktionen - Aussagenlogik - Beweismethoden - Grundlagen der Graphentheorie Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [ 1.6098e-02, 3.4760e-02, -9.1095e-03, ..., -1.0216e-02, -1.4565e-02, 3.5706e-03], [ 7.6437e-04, -8.6899e-03, 1.6922e-02, ..., 2.3422e-02, 3.4904e-03, 6.2904e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [ 0.0461, 0.0897, 0.0064, ..., -0.0292, -0.0642, 0.0472], [ 0.0063, -0.0087, -0.0298, ..., 0.0878, -0.1110, 0.0593], [ 0.0140, -0.0115, -0.0091, ..., 0.0296, -0.0305, 0.0100]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.1179, 0.1033, 0.1548, ..., -0.1027, 0.0025, -0.1722], [ 0.0735, -0.0360, -0.1164, ..., 0.0476, -0.0777, 0.1082], [ 0.0518, 0.0026, -0.0009, ..., 0.0316, -0.0303, 0.0231]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [ 0.1470, 0.1515, 0.3102, ..., -0.1093, 0.0046, -0.0822], [ 0.0538, 0.0941, 0.1162, ..., -0.1746, -0.1119, 0.1755], [ 0.1098, -0.0380, 0.0009, ..., -0.0116, -0.0571, 0.0317]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.1407, 0.2869, 0.4148, ..., -0.0755, 0.0296, -0.0737], [-0.1282, 0.3680, 0.1338, ..., -0.1897, -0.0071, -0.1650], [ 0.1018, 0.0188, 0.0054, ..., 0.0452, -0.1156, 0.1276]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.0659, 0.2910, 0.3964, ..., -0.2146, -0.0567, -0.0810], [-0.1804, 0.2758, 0.1489, ..., -0.0156, 0.1502, -0.2088], [ 0.1816, -0.0108, -0.0123, ..., -0.0262, -0.1061, 0.2227]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.0014, 0.2429, 0.3601, ..., -0.4425, -0.1261, 0.0690], [ 0.0360, 0.1479, 0.2533, ..., -0.0837, 0.3390, -0.0169], [ 0.2119, -0.1909, 0.0445, ..., -0.1581, -0.1025, 0.4809]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.0115, 0.1401, 0.4832, ..., -0.3560, -0.0651, 0.2497], [-0.1056, 0.2176, 0.3350, ..., -0.1631, 0.6191, 0.1026], [ 0.2731, -0.0777, 0.4990, ..., -0.0329, -0.1890, 0.5276]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.0575, 0.2244, 0.4655, ..., -0.5955, 0.3221, 0.1557], [ 0.1143, 0.9447, 0.3222, ..., -0.4827, 0.8724, 0.2751], [ 0.3513, -0.1024, 0.3001, ..., -0.0747, -0.3906, 0.4521]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-4.9255e-01, 4.1581e-01, 3.0628e-01, ..., -5.5830e-01, 3.9320e-01, 1.6156e-01], [-1.3316e-01, 7.8164e-01, 3.8502e-01, ..., -5.7117e-01, 9.8560e-01, 3.2164e-01], [-1.8581e-01, -3.7488e-02, 4.4190e-01, ..., 1.1356e-01, -2.8790e-01, 4.0804e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.4630, 0.3650, 0.4395, ..., -0.6365, 0.3474, 0.3672], [-0.3170, 0.5936, 0.3499, ..., -0.4268, 0.6762, 0.3724], [ 0.2064, -0.2871, 0.1320, ..., 0.0526, -0.6448, 0.4338]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.5278, 0.3602, 0.1965, ..., -0.8570, 0.4485, 0.4128], [-0.4668, 0.3502, 0.2331, ..., -0.2967, 0.9081, 0.3723], [ 0.3500, -0.4878, 0.1879, ..., 0.1599, -0.7058, 0.5221]]]) 12: tensor([[[ 1.8037e-01, -9.2031e-01, -5.0948e-01, ..., -7.4439e-02, -1.1742e-01, 3.8180e-01], [-4.3383e-01, -7.3806e-01, 8.4982e-02, ..., -2.9242e-01, -6.6474e-01, 2.4805e-01], [-2.2383e-01, -8.7245e-01, 1.6042e-01, ..., 4.1013e-01, -5.6985e-01, -4.7507e-01], ..., [-5.0083e-01, 5.9027e-01, -5.6436e-04, ..., -6.3920e-01, 1.9974e-01, 5.9026e-01], [-5.4544e-01, 5.8127e-02, 2.0236e-01, ..., -6.4943e-01, 5.5445e-01, 3.7074e-01], [ 3.9800e-01, -7.1451e-01, 1.2419e-01, ..., 2.4037e-01, -5.4010e-01, 4.5544e-01]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [-0.1448, 0.5132, 0.1092, ..., -0.2989, 0.0790, 0.8673], [-0.3571, 0.2656, 0.0215, ..., -0.5430, 0.0725, 0.6909], [ 0.2471, -0.6484, 0.1008, ..., -0.0337, -0.9814, 0.8171]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [ 0.1374, 0.3741, 0.0261, ..., -0.5894, 0.1455, 0.9694], [-0.3450, 0.4075, -0.2621, ..., -0.7971, -0.1101, 0.2491], [ 0.0423, -0.6716, 0.0594, ..., 0.2826, -0.7657, 0.5648]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.1013, 0.1055, -0.0942, ..., -0.9727, 0.0183, 0.7974], [-0.0940, 0.0345, -0.2147, ..., -0.7905, -0.5264, 0.2794], [ 0.4020, -0.9309, -0.3201, ..., 0.8048, -0.9418, 0.4986]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-0.3127, -0.1287, 0.3492, ..., -1.0157, 0.1762, 0.8593], [ 0.0819, -0.3857, -0.3485, ..., -1.0936, -0.3150, -0.1172], [ 0.1009, -1.2804, -0.4555, ..., 0.6882, -1.3393, 0.9782]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-0.2003, -0.0884, 0.6824, ..., -0.7103, -0.1149, 0.6836], [ 0.0762, -0.8759, -0.0763, ..., -1.4364, 0.0894, -0.2905], [ 0.0365, -1.3837, -0.0618, ..., 0.5090, -1.4337, 0.8130]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [ 0.1856, 0.2429, 1.4132, ..., -1.0244, -0.1345, 0.8680], [ 0.8180, -0.8104, 0.3273, ..., -1.8266, 0.1171, -0.8493], [ 0.2014, -1.3486, -0.2694, ..., 0.7981, -2.1515, 0.5188]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [ 0.1338, 0.4544, 1.6870, ..., -0.8420, -0.3116, 0.9296], [ 0.5088, -0.6094, 0.2773, ..., -2.0019, -0.0275, -0.9354], [-0.0840, -1.9257, -1.2878, ..., 0.8514, -1.9142, 0.2702]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.0244, 0.4743, 1.9273, ..., -0.9234, -0.8093, 1.3592], [ 0.4697, -0.4573, 0.3385, ..., -2.0901, 0.0126, -1.2972], [ 0.3864, -2.0689, -0.5691, ..., 0.7240, -1.6727, -0.0374]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.1854, 0.8582, 2.3229, ..., -1.3185, -0.7054, 1.5230], [ 0.5405, -0.8896, 0.4511, ..., -1.9539, 0.3569, -1.4957], [ 0.4392, -2.3813, -0.4033, ..., 0.6854, -1.7337, 0.1820]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.1151, 0.4913, 2.5855, ..., -1.5962, -1.0009, 0.8460], [ 0.9764, -0.8184, 0.3044, ..., -1.5943, 0.5501, -1.8421], [-0.0815, -2.3605, 0.1892, ..., 0.9575, -1.6534, 0.9086]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-0.0037, 0.5611, 2.7174, ..., -1.6061, -0.8740, 0.3373], [ 1.3722, -0.6920, 0.2908, ..., -2.2945, 0.2150, -1.6304], [-0.2611, -1.6973, 0.0835, ..., 0.9255, -1.5313, 0.9388]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 0.9761, 1.7388, 2.5815, ..., -2.5067, -0.3804, 0.5286], [ 1.8137, -0.9440, 0.1030, ..., -3.7492, 1.1473, -1.2198], [-0.1430, -1.4137, 0.6602, ..., 1.4071, -1.1148, 0.9332]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [ 1.2025, 2.0662, 3.5233, ..., -2.2425, -0.0682, 1.2461], [ 1.9762, -0.8743, 0.0719, ..., -4.4537, 1.7556, -0.6400], [ 0.5153, -1.4775, 0.6908, ..., 1.0385, -0.9582, 0.6929]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [ 0.9790, 1.1878, 3.8949, ..., -2.2404, -0.2371, 0.5656], [ 1.9021, -1.9184, 0.0198, ..., -4.0369, 2.4258, -0.7455], [ 0.0411, -1.7036, 0.0761, ..., 0.9444, -0.8800, 1.0136]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [ 1.4235, 1.7583, 4.3152, ..., -2.8914, 0.3722, 0.7043], [ 1.5440, -2.1802, -0.1125, ..., -4.3676, 2.9829, -0.8759], [-0.5102, -2.3482, 0.5267, ..., 1.5152, -0.0589, 1.1481]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 1.1074, 1.8339, 4.5474, ..., -2.8203, 0.4948, 0.9853], [ 1.3799, -2.3346, -0.5102, ..., -4.0409, 3.3346, -0.8523], [ 0.0152, -2.5783, 0.8893, ..., 1.9932, -0.2732, 0.8604]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 0.6564, 2.4990, 4.9982, ..., -2.3118, 1.4917, 1.0934], [ 1.7551, -3.3136, -1.1686, ..., -3.6447, 3.3586, -1.4456], [ 0.5340, -2.7223, 0.7235, ..., 2.1678, -0.8151, 0.6597]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [ 6.3199e-01, 3.2741e+00, 5.0358e+00, ..., -2.0807e+00, 8.6799e-01, 1.7870e+00], [ 1.7479e+00, -3.1582e+00, -1.7325e+00, ..., -3.9119e+00, 3.2194e+00, -1.0853e+00], [ 9.5036e-01, -1.9371e+00, 6.6727e-01, ..., 2.2617e+00, -6.4823e-01, 2.5810e-01]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [ 0.5796, 4.6916, 4.9940, ..., -1.2110, 0.5878, 1.0981], [ 1.8922, -3.3787, -1.4038, ..., -4.0390, 3.4836, -0.2285], [ 0.7623, -1.5991, 2.0060, ..., 1.4223, -0.5137, 0.7858]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 0.3747, 4.6985, 4.9862, ..., -0.9676, 1.3786, 1.1992], [ 1.7156, -2.8694, -1.2231, ..., -5.2842, 3.6856, -0.4775], [-0.1569, -1.8885, 1.9445, ..., 0.9040, -0.5789, 0.1705]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [ 0.0974, 4.7795, 4.6941, ..., -1.4672, 1.0888, 0.9218], [ 1.7496, -2.9414, -1.3257, ..., -5.6713, 4.6880, 0.1936], [ 0.2487, -0.1877, 1.9572, ..., 1.4479, -0.0331, 1.1446]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [ 0.9262, 4.7050, 4.7234, ..., -1.7600, 1.1052, 1.0700], [ 1.5848, -2.8924, -1.5291, ..., -6.0260, 4.0944, 0.2600], [ 0.1654, -0.2146, 2.8077, ..., 0.7136, 0.5567, 1.3989]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [ 1.7111, 4.6622, 5.8766, ..., -0.8909, 0.3711, 1.3037], [ 1.7620, -3.4936, -1.7577, ..., -5.6797, 4.7846, 0.4596], [ 0.1559, -0.6734, 2.4810, ..., 0.4417, 0.9362, 0.5252]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [ 1.3428, 5.6012, 4.6460, ..., -1.2475, -0.8683, 1.3372], [ 2.2800, -3.6267, -2.0918, ..., -4.6885, 4.4251, 0.2924], [ 0.1161, -1.0896, 3.3152, ..., 0.4793, 1.0109, -0.2065]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 1.8976, 5.1624, 4.0970, ..., -2.3888, -2.4494, -0.3276], [ 2.4674, -3.2610, -0.7130, ..., -4.8163, 4.2108, 0.4165], [-0.0300, -1.5933, 4.0204, ..., 0.0235, 1.5836, -1.2533]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 2.2090, 3.7503, 5.4528, ..., -3.8951, -3.4449, -0.7205], [ 2.7076, -2.9306, -1.5168, ..., -4.5041, 3.2534, -0.3942], [ 0.4526, -1.4406, 4.1080, ..., -1.5814, 2.4001, -1.4191]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 2.9123, 3.9260, 7.2365, ..., -3.5860, -3.0253, -1.6691], [ 2.5081, -4.4568, -1.9197, ..., -2.6698, 2.3524, 0.3838], [ 1.3931, -1.1944, 5.3884, ..., -0.3634, 1.1472, -3.4749]]]) 40: tensor([[[-9.8127e-01, -8.8043e-01, -4.7547e-01, ..., -3.7186e-01, -1.7917e-01, -4.0121e-01], [ 9.8056e-02, -3.6278e-01, 1.9399e-01, ..., -1.1206e+00, -2.0881e+00, -1.0290e+00], [-2.7625e-01, 5.1922e-01, -1.0364e+00, ..., -4.3238e-01, -5.4167e-01, 2.5382e-01], ..., [ 6.3622e-01, -8.2315e-03, 1.3320e+00, ..., -2.0341e-01, -2.1952e-01, 1.7925e-04], [ 5.0078e-01, -3.7702e-01, -1.1084e+00, ..., -1.1617e-03, 7.2730e-01, 3.2410e-01], [-3.5432e-01, -4.9268e-01, 1.8404e-01, ..., -3.3481e-01, -4.5222e-01, -1.0299e+00]]]) Query: - Zahlentheorie (Primzahlen, Primzahlfaktorisierung, Eulersche Phi-Funktion, Stellenwert-systeme, Zahlensyste- me mit beliebigen Basen, duale Basis, Zahlendarstellung im Computer) - Mathematische Grundlagen der Kryptographie (erweiterter Euklidischer Algorithmus, modulare Arithmetik, Restklassenringe, Invertierbarkeit bzgl. der Multiplika-tion in Restklassenringen, Satz von Fermat-Euler) - Grundlagen der linearen Algebra und Anwendungen in der Informatik (Lineare Gleichungssysteme, Gauß- Algorithmus, der Rn als Vektorraum, Vektorrechnung, Skalarprodukt, Kreuzprodukt, Geraden, Ebenen, Ma- trizen, Drehmatrizen, Spiegelungen, symmetrische Matrizen, inverse Matrix, Determinanten, Eigenwerte) Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-1.5388e-02, -1.3588e-02, -2.2507e-02, ..., 9.8495e-03, 1.1246e-02, -1.7776e-03], [-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03, 1.2177e-02, 7.6714e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0425, -0.0036, -0.0008, ..., -0.0131, 0.0063, 0.0406], [-0.0194, -0.0221, 0.0541, ..., -0.0030, 0.0485, 0.0735], [ 0.0021, -0.0211, -0.0161, ..., 0.0431, 0.0110, -0.0072]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [-0.0880, 0.0127, 0.0533, ..., 0.0127, -0.0227, 0.0236], [-0.0637, 0.0377, 0.0661, ..., -0.0123, 0.0416, 0.1095], [ 0.0564, -0.0149, -0.0280, ..., 0.0115, 0.0094, 0.0064]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.1779, 0.2426, 0.0208, ..., 0.1346, 0.0890, 0.0124], [-0.1130, 0.0345, 0.1217, ..., 0.0141, 0.1236, 0.1026], [ 0.1674, -0.0143, 0.0490, ..., 0.0311, 0.0629, 0.0974]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.0120, 0.3501, 0.0718, ..., 0.1448, 0.1026, -0.1031], [-0.1880, -0.0301, 0.1600, ..., 0.0536, 0.1607, 0.1117], [ 0.1381, -0.0777, 0.0629, ..., 0.0262, 0.0447, 0.1854]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [-0.0039, 0.3987, 0.1563, ..., 0.2051, -0.0120, -0.1093], [-0.0787, -0.0726, 0.1560, ..., -0.0223, 0.2099, 0.1925], [ 0.1694, 0.0217, 0.0229, ..., -0.1793, 0.1400, 0.1569]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [-0.0206, 0.5548, 0.4449, ..., -0.0593, -0.0605, -0.1844], [-0.1833, 0.0138, 0.1977, ..., 0.2960, 0.6368, 0.3367], [ 0.2714, -0.0307, 0.2515, ..., -0.1149, 0.3557, 0.2931]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.1499, 0.6762, 0.4034, ..., -0.0936, -0.0659, -0.1602], [-0.0383, 0.1522, 0.3308, ..., 0.2480, 0.5520, 0.3691], [ 0.3236, 0.0194, 0.4616, ..., -0.1243, 0.3479, 0.4950]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [ 0.1538, 0.5911, 0.5182, ..., -0.2484, 0.1955, -0.2598], [ 0.1909, 0.2552, 0.0932, ..., 0.2844, 0.5339, 0.4809], [ 0.1565, -0.1873, 0.3460, ..., -0.4245, 0.1199, 0.5905]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-1.4844e-01, 6.2345e-01, 6.1989e-01, ..., -3.8166e-01, -4.6247e-02, -8.2174e-01], [ 2.3174e-02, 4.8192e-01, 3.2863e-01, ..., 2.3095e-01, 2.4435e-01, 3.0075e-01], [-2.6265e-02, -3.4406e-01, 5.5148e-01, ..., -3.5735e-01, 1.6445e-01, 6.1662e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.3000, 0.5072, 0.9565, ..., -0.3663, -0.1198, -0.6535], [ 0.0903, 0.2293, 0.2575, ..., 0.5276, 0.2150, 0.3583], [ 0.3594, -0.4312, 0.4118, ..., -0.2076, -0.0069, 0.5093]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.1555, 0.3389, 1.0309, ..., -0.3849, -0.0063, -0.3837], [-0.0603, 0.0691, 0.0696, ..., 0.5603, 0.2186, 0.1046], [ 0.1390, -0.4520, 0.1396, ..., 0.2250, -0.3222, 0.4848]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.3566, 0.3100, 1.0037, ..., -0.3337, 0.0137, -0.6922], [ 0.1118, -0.0498, 0.0797, ..., 0.3182, 0.4296, 0.0974], [ 0.2951, -0.6996, 0.1991, ..., 0.2051, -0.5127, 0.6712]]]) 13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02, -2.0185e-01, 4.5267e-01], [-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01, -3.1000e-01, 1.2849e-01], [-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01, -6.6826e-01, -4.8370e-01], ..., [-4.9050e-01, 6.2136e-01, 5.6369e-01, ..., -2.3517e-01, 1.0785e-01, -3.7142e-01], [-9.8571e-05, -2.0854e-01, -4.3171e-01, ..., 5.7715e-01, 2.0626e-02, 2.4608e-01], [ 7.7166e-02, -5.4520e-01, -1.9590e-02, ..., -2.1383e-01, -7.7139e-01, 6.6933e-01]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [-0.6498, 0.5817, 0.6063, ..., -0.4602, 0.2738, -0.4835], [ 0.5600, -0.4776, -0.5025, ..., 0.4812, 0.2227, -0.0529], [ 0.4021, -0.6647, -0.0660, ..., 0.1511, -0.5907, 0.3169]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [-0.3794, 0.3057, 0.7870, ..., -0.4710, 0.6219, -1.0108], [ 0.3144, -0.6890, -0.9278, ..., 0.7924, 0.2302, -0.4770], [ 0.3063, -0.9788, -0.4742, ..., 0.6049, -0.8736, 0.3197]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-0.8253, -0.1352, 0.8229, ..., -0.3706, 0.9658, -1.2179], [ 0.0272, -0.9597, -1.1676, ..., 0.5273, 0.2843, -0.0565], [-0.1403, -1.5178, -0.1782, ..., -0.0820, -1.0038, 0.6354]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-0.9486, 0.4946, 1.4737, ..., 0.1063, 0.7247, -1.0244], [-0.4388, -1.0732, -1.0818, ..., 0.4260, -0.2079, -0.1658], [-0.6699, -1.5838, -0.0542, ..., -0.1229, -1.0645, 0.5629]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-1.0343, 0.2473, 1.1896, ..., 0.4621, 1.0434, -1.1739], [-0.4544, -0.7924, -1.5910, ..., 0.1033, -0.3708, -0.6148], [-1.0590, -1.6255, 0.2158, ..., 0.0621, -1.3911, 0.4270]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-0.5165, -0.3790, 1.1771, ..., 0.4009, 0.9128, -1.3922], [-0.3657, -1.3070, -2.0009, ..., -0.5340, -0.3547, -0.0410], [-0.7591, -2.0628, -0.5147, ..., 0.3517, -1.1582, 0.4036]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.6691, -0.2565, 1.2420, ..., 0.6339, 1.0299, -0.7646], [-0.6468, -1.2815, -2.1650, ..., -0.8099, 0.2815, -0.3956], [-0.7852, -1.9576, -0.0846, ..., 0.3895, -0.9955, 0.2727]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.5486, -0.3356, 0.9599, ..., 0.7369, 1.2862, -1.2571], [-0.9830, -1.7246, -2.3006, ..., -0.5979, 0.1385, -1.1365], [-1.0901, -2.1766, 0.0584, ..., 0.3962, -0.7888, -0.1799]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.9378, -0.0595, 0.9431, ..., 0.8803, 1.5305, -0.5976], [-1.1686, -2.0294, -2.5098, ..., -0.4486, 0.4420, -1.1795], [-1.3086, -1.9911, 0.4750, ..., 0.4188, -0.6779, 0.5988]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-0.7469, -0.3309, 1.0540, ..., 0.4035, 1.1849, -0.8897], [-0.8928, -2.2025, -2.3996, ..., -0.8416, 0.2736, -1.3429], [-0.7813, -1.8401, 0.1627, ..., 0.4678, -0.3543, 0.3622]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [-0.2112, -0.3554, 0.6580, ..., -0.9959, 1.8405, -0.2308], [-0.2749, -2.0490, -2.2077, ..., -1.5770, 0.9157, -1.2808], [-0.8391, -2.0741, 0.2393, ..., 0.5721, -0.4717, 0.2792]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [-0.1717, -0.3118, 0.3661, ..., -0.9232, 2.2995, 0.0224], [-0.2589, -1.3467, -2.3305, ..., -2.3330, 0.4140, -0.7217], [-0.3044, -1.6532, -0.0116, ..., 0.4799, -0.2590, -0.0416]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [ 0.0612, -1.6116, 1.0506, ..., -0.5003, 2.9408, 0.3079], [-0.8373, -1.5697, -2.9105, ..., -2.0007, -0.2784, -0.9609], [-0.4821, -1.3889, -0.2890, ..., 0.8538, -0.9634, 0.5692]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [ 0.6344, -0.9070, 1.4330, ..., -0.8046, 3.5476, 0.4171], [-0.7915, -2.6821, -2.5538, ..., -2.5913, -0.0508, -1.2205], [-0.9893, -2.0538, -0.7271, ..., 1.2289, -0.6557, 0.9480]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 1.2269, -2.4913, 1.0348, ..., -1.1558, 4.2982, 1.9120], [-1.0165, -2.6842, -2.8023, ..., -2.8575, 0.1782, -0.7942], [-1.6603, -2.2598, -0.7780, ..., 1.7597, -0.6340, 1.0818]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 0.9694, -2.3959, 0.2359, ..., -0.7096, 4.6944, 1.5411], [-1.2819, -2.6936, -3.1382, ..., -2.4274, 0.2069, -0.7158], [-1.3091, -2.4815, -1.3017, ..., 2.2348, -1.1073, 0.8939]]]) 30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787], [ 0.8239, -2.3207, 0.0694, ..., -0.7621, -3.7438, 0.4443], [ 0.5519, -1.9823, 0.4187, ..., -0.8991, -1.8399, 0.0046], ..., [ 1.1671, -2.1183, -0.8258, ..., -1.1127, 4.1160, 2.1127], [-1.5298, -2.1679, -3.5065, ..., -2.9499, 0.4946, -0.7077], [-1.5902, -2.1142, -1.3092, ..., 2.4900, -0.7669, 0.8574]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [ 1.3714, -2.0196, -0.2422, ..., -1.2819, 3.9108, 1.9128], [-1.7140, -2.3452, -2.7673, ..., -2.6120, 0.0366, -0.4630], [-1.8012, -2.1409, -0.3153, ..., 2.1954, -0.8478, 1.1351]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 1.1867, -1.9584, 0.0272, ..., -0.8639, 4.2153, 2.1817], [-2.5063, -2.2998, -1.8205, ..., -3.2107, -0.2277, -0.2687], [-2.8826, -2.4731, 0.1774, ..., 1.1197, -0.9014, 0.5608]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [ 0.0648, -1.9857, -0.1249, ..., -1.4600, 5.4400, 3.1612], [-2.9908, -2.2328, -1.6540, ..., -2.7623, 0.1730, 0.7848], [-2.7944, -1.8556, 0.1584, ..., 1.2413, -0.4789, 1.2645]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-0.4064, -1.3240, -0.0911, ..., -1.9452, 5.9062, 4.0078], [-3.1422, -1.9295, -1.8938, ..., -2.6526, 0.2320, 1.2208], [-2.9245, -1.2290, 0.4221, ..., 0.6972, -0.3846, 1.8345]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-0.7160, -1.3087, -0.9128, ..., -1.6068, 5.6412, 4.1076], [-3.8929, -1.6119, -2.3021, ..., -3.2833, 0.6047, 0.4550], [-3.4793, -1.0777, 0.1173, ..., 0.7041, -0.4706, 1.1051]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [-0.2707, -0.6381, 0.3105, ..., -0.8765, 6.9871, 4.2593], [-3.8939, -1.4057, -2.4715, ..., -2.9527, 0.8011, 0.8856], [-4.5307, -1.5990, 0.1809, ..., 0.6607, -1.0989, 0.9769]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 1.3021, -0.1099, 0.5025, ..., -1.7974, 6.9677, 5.0337], [-4.3764, -1.4490, -2.7056, ..., -2.3435, 0.8050, 0.8411], [-4.3796, -2.5637, 0.4052, ..., 0.4985, -0.8347, 1.0703]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 0.8534, -0.5384, -0.0246, ..., 0.2213, 7.5854, 6.7178], [-4.4832, -1.7909, -2.4843, ..., -2.5060, 1.9693, 0.8676], [-4.3367, -2.0296, 1.3349, ..., -0.6666, -0.3008, 0.5818]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 1.0587, -1.7125, -0.2781, ..., 1.6145, 9.2656, 8.1736], [-5.1641, -1.1795, -2.7241, ..., -0.3093, 1.6078, 2.2119], [-4.0653, -2.6973, 1.9120, ..., 0.7876, -1.8534, 0.7651]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [ 0.1031, -0.2559, -0.8248, ..., 0.6238, 1.9846, 1.8762], [-0.8502, 0.2808, 0.2353, ..., 0.8560, 1.0039, 0.6435], [-1.1242, -0.7292, -0.3027, ..., -0.2369, -1.1712, -0.1192]]]) Query: - Kombinatorik - klassische Wahrscheinlichkeit, Zufallsexperiment - Ereignisraum, Elementarereignis, Ereignis, Axiome der Wahrscheinlichkeitstheorie, Rechenregeln, Zusammen- hang mit der klassischen Definition - Bedingte Wahrscheinlichkeit, Satz von der totalen Wahrscheinlichkeit, Satz von Bayes - Zufallsgrößen, Wahrscheinlichkeitsfunktionen, Verteilungsfunktionen,Erwartungswert und Varianz, Standard- abweichung, Rechenregeln - Zentraler Grenzwertsatz,Grenzwertsatz von Moivre-Laplace, - Kovarianz und Korrelation, Rechenregeln - Grundbegriffe der Statistik - Parameterschätzungen - Regression - Maximum-Likelihood-Methode, - Konfidenzintervalle - Hypothesentests: Student’s- und Chi-Quadrat-Verteilung, ROCKurven Modulhandbuch – Fakultät für Informatik 18 Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-4.3068e-03, 3.6392e-03, -1.9623e-02, ..., -4.7836e-03, -4.7150e-03, -3.8910e-03], [-8.3771e-03, -2.5284e-02, -2.1591e-02, ..., -7.3395e-03, -7.7591e-03, -3.4637e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 3.7897e-02, -5.6641e-02, -2.9372e-02, ..., -2.2456e-02, -2.6234e-02, 8.9875e-03], [-1.0164e-01, -1.9486e-02, -4.2392e-02, ..., 7.5249e-02, -7.0435e-02, -4.2729e-02], [-5.8809e-02, 1.2059e-02, 1.1087e-02, ..., 1.3647e-02, -3.7473e-02, -2.1211e-02], ..., [-4.2019e-02, -8.4255e-03, 4.5046e-02, ..., -2.6192e-02, -1.7364e-02, -1.4397e-05], [ 1.0801e-02, -2.4288e-02, -1.1970e-02, ..., -2.2211e-03, -2.7316e-04, -2.1113e-02], [ 3.1338e-02, -2.3420e-02, -2.5840e-02, ..., 9.3701e-03, -2.1508e-02, 2.9700e-02]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.0042, 0.0192, 0.0353, ..., -0.1107, 0.0488, 0.0014], [ 0.0951, -0.0158, -0.0425, ..., 0.0236, 0.0566, -0.0079], [ 0.0960, -0.0210, -0.0108, ..., 0.0035, -0.0126, 0.0430]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.0201, 0.0077, 0.0678, ..., -0.1545, 0.0767, 0.0019], [ 0.1288, 0.0440, -0.0439, ..., 0.0945, 0.1229, 0.0276], [ 0.1161, -0.0692, 0.0253, ..., 0.1135, -0.0168, 0.1070]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [-0.0195, 0.0981, 0.1332, ..., -0.1312, 0.0529, 0.0112], [ 0.2101, 0.0479, 0.0487, ..., 0.0903, 0.1228, -0.0445], [ 0.2825, 0.1094, -0.0663, ..., 0.2536, -0.1237, 0.3172]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [-0.0509, 0.1601, 0.1439, ..., -0.0175, 0.1095, 0.0537], [ 0.2192, 0.0898, -0.0096, ..., 0.0553, 0.1909, -0.0663], [ 0.2506, 0.1917, -0.2953, ..., 0.1212, -0.0944, 0.4492]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.0301, 0.0852, 0.1517, ..., 0.1897, 0.3385, 0.0291], [ 0.1693, -0.1565, -0.0839, ..., 0.2689, 0.3219, -0.0991], [ 0.2039, -0.0837, -0.0744, ..., 0.3918, 0.0887, 0.4880]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [-0.0509, 0.0460, 0.1349, ..., 0.2980, 0.2847, 0.0381], [ 0.1353, -0.3425, -0.0298, ..., 0.3921, 0.3536, -0.1609], [ 0.4149, -0.0889, -0.1395, ..., 0.4518, 0.0158, 0.6639]]]) 8: tensor([[[ 1.7744e-01, -1.0197e+00, -5.5202e-01, ..., 2.1911e-01, -7.4777e-02, 3.1519e-01], [-2.7662e-01, -5.2568e-01, 8.5117e-01, ..., -2.2344e-03, -4.8378e-01, -1.3226e-01], [-4.5867e-02, -1.7939e-01, 4.2289e-01, ..., 3.4982e-01, -4.0342e-01, -4.6520e-01], ..., [-3.6238e-03, 4.3644e-02, 1.2118e-01, ..., 4.3760e-01, 2.7634e-01, 1.5661e-01], [ 6.8636e-02, -3.1522e-01, 1.3103e-02, ..., 3.7811e-01, 3.1783e-01, 2.0240e-02], [ 3.0143e-01, -1.6232e-01, -1.6084e-04, ..., 2.4669e-01, 1.1126e-01, 5.1648e-01]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-2.3189e-01, -1.9281e-03, 1.5848e-01, ..., 5.9438e-01, 1.6535e-01, 1.0786e-01], [ 9.3650e-02, -4.9048e-01, 7.2513e-02, ..., 2.3171e-01, 2.2237e-01, 1.3623e-01], [ 1.5254e-01, -5.6511e-01, 2.7471e-02, ..., 2.9463e-01, 1.9987e-01, 3.5108e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.1016, 0.0855, 0.1069, ..., 0.1801, 0.1685, 0.1470], [ 0.2675, -0.5276, 0.0151, ..., 0.1736, 0.2935, 0.0724], [ 0.1786, -0.3241, 0.2065, ..., 0.3455, 0.2416, 0.4141]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [ 0.0658, -0.1097, 0.4129, ..., 0.2817, 0.0667, 0.1830], [ 0.3902, -0.5847, 0.1715, ..., 0.2855, 0.7591, 0.1305], [ 0.2491, -0.3224, 0.1526, ..., 0.3880, 0.3181, 0.3891]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [ 0.3700, 0.0691, 0.1732, ..., 0.3749, 0.0451, 0.3888], [ 0.6665, -0.5629, 0.2443, ..., 0.4410, 0.4310, 0.1240], [ 0.0565, -0.4210, 0.2456, ..., 0.3699, 0.1519, 0.3862]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, 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1.1597, 0.5949]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [ 0.4804, -0.8091, -0.6043, ..., 0.6991, 0.4555, 0.0456], [ 0.0760, -1.0417, 0.0194, ..., 0.3554, 0.4867, 0.5724], [-0.2354, -0.3184, -0.0767, ..., 0.3454, 1.0941, 0.5429]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.3505, -0.8841, 0.0365, ..., 0.6393, 0.9454, 0.4137], [ 0.1470, -1.0960, 0.7615, ..., 0.4272, 0.9678, 0.6205], [-0.2904, -0.1767, 0.3152, ..., 0.1617, 1.0088, -0.0482]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-0.0899, -0.8862, 0.0369, ..., 0.8096, -0.1216, -0.0737], [-0.0909, -0.8055, 0.4298, ..., 0.6069, 0.2011, 0.7824], [-0.5286, -0.2245, 0.0378, ..., 0.4366, 0.5888, 0.0261]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [ 0.0761, -1.0771, -0.5170, ..., 0.8796, -0.0626, 0.0896], [ 0.1423, -0.7049, -0.3944, ..., 0.2844, 0.0850, 0.8505], [-0.9195, -0.2381, -0.1981, ..., 0.3146, 0.4375, -0.0623]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.0939, -1.4149, -0.4720, ..., 1.2241, -0.4550, 0.3221], [ 0.3418, -1.1093, -0.5366, ..., 0.5047, -0.4153, 0.5120], [-1.1879, -0.5374, -0.1661, ..., 0.4266, 0.1237, -0.2224]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.3959, -1.3092, -0.6404, ..., 1.4643, -0.6694, 0.5350], [ 0.1628, -0.6212, -0.6856, ..., 0.7392, -0.4194, 0.6883], [-1.5697, -0.0587, -0.0614, ..., 0.4084, -0.1558, 0.1937]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.7138, -1.9143, -0.8920, ..., 1.2593, -1.0457, 0.8936], [ 0.3812, -0.4784, -0.7360, ..., 0.8985, -0.3736, 1.2083], [-1.3829, -0.0139, -0.2265, ..., 0.5684, 0.0088, 0.5815]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-0.9005, -2.2145, -0.9966, ..., 1.3000, -0.9883, 0.5627], [ 0.1662, -1.3130, -0.7752, ..., 0.4747, -0.4961, 0.5073], [-1.1214, -0.2725, -0.7784, ..., 0.1512, -0.1051, 0.0037]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [-0.6814, -1.5231, -0.9857, ..., 1.2649, -1.6180, 0.1475], [ 0.2778, -1.5570, -0.9969, ..., 0.7713, -0.7707, 0.2326], [-1.5844, -0.9499, -1.2246, ..., 0.1292, -0.2280, -0.3270]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [-0.8852, -1.8927, -1.5794, ..., 1.1513, -1.2125, -0.4900], [ 0.8539, -1.6039, -1.9565, ..., 0.9030, -0.4513, 0.0595], [-1.0649, -0.9239, -1.0895, ..., 0.2182, -0.4182, -0.2726]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [-0.1203, -1.7707, -1.9144, ..., 1.5551, -0.7830, -0.9745], [ 1.2667, -0.8534, -2.7991, ..., 1.3028, -0.9618, 0.1076], [-1.2734, -0.2593, -1.2408, ..., 1.1375, -1.1027, -0.1996]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [-0.5775, -2.2636, -2.0443, ..., 1.6823, -0.4184, -0.4787], [ 0.1383, -1.7669, -2.8777, ..., 2.2767, -0.4504, 0.6310], [-1.6389, -1.1422, -0.9176, ..., 1.6506, -0.9802, 0.1229]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [-0.9094, -2.8486, -1.6685, ..., 1.8071, -0.6546, -0.6404], [-0.3273, -2.0003, -2.7194, ..., 2.4883, -0.2431, 0.3835], [-1.8923, -1.1321, -0.9365, ..., 2.2524, -1.4240, 0.1073]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [-1.1447, -3.1485, -1.9523, ..., 1.9884, -0.6586, -1.1115], [-0.5230, -2.2839, -2.9391, ..., 2.8677, 0.1560, 0.0554], [-2.0127, -1.0670, -1.1430, ..., 2.6889, -1.6060, 0.0230]]]) 30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787], [ 0.8239, -2.3207, 0.0694, ..., -0.7621, -3.7438, 0.4443], [ 0.5519, -1.9823, 0.4187, ..., -0.8991, -1.8399, 0.0046], ..., [-1.1299, -2.9639, -1.2538, ..., 1.4698, 0.2977, -1.2463], [-0.6929, -1.7494, -3.1834, ..., 2.8731, 0.5569, -0.4748], [-2.0684, -0.6987, -1.2862, ..., 2.6228, -1.3756, -0.2723]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [-0.7158, -3.0378, -0.4184, ..., 1.1229, 0.5980, -0.4632], [ 0.1732, -1.5658, -2.4252, ..., 2.5809, 0.8670, 0.2601], [-1.8847, -0.6359, -1.0690, ..., 1.9546, -1.8047, 0.6301]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [-0.9327, -3.2744, 0.2366, ..., 1.2031, 0.6567, -0.7710], [ 0.0230, -1.6837, -1.6707, ..., 2.5473, 1.0137, -0.2006], [-2.3823, -0.9617, -0.5386, ..., 1.5611, -2.1109, 0.0801]]]) 33: tensor([[[ 7.0910e-01, -9.4196e-01, 2.5599e-01, ..., 1.7471e-01, -9.4584e-01, 2.5499e-02], [ 6.7456e-01, -2.3491e+00, -5.0228e-01, ..., -1.1778e+00, -4.0825e+00, 6.3687e-01], [ 3.3259e-01, -2.5822e+00, -4.3508e-02, ..., -7.9605e-01, -1.9972e+00, 2.1508e-01], ..., [-1.5985e+00, -2.8959e+00, -1.6021e-03, ..., 1.8524e+00, 8.6071e-01, -1.9720e-01], [-2.9116e-01, -1.4517e+00, -1.7253e+00, ..., 2.3213e+00, 1.3836e+00, -2.5114e-02], [-2.9424e+00, -4.3614e-01, -7.0343e-01, ..., 1.9268e+00, -1.5903e+00, 5.1759e-01]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-1.2865, -2.9809, -0.0977, ..., 1.9541, 1.2488, 0.0613], [ 0.0630, -1.4469, -1.6316, ..., 2.3931, 1.0333, 1.0566], [-3.0742, -0.1640, -0.6622, ..., 1.8811, -1.7781, 1.4931]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-2.0376, -3.5307, -0.4280, ..., 2.5471, 0.8213, -0.4011], [ 0.1996, -1.6572, -2.5992, ..., 2.8204, 0.4395, 1.0156], [-2.6471, 0.2823, -0.9631, ..., 2.3135, -2.0470, 1.2140]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [-1.9775, -4.0888, -0.1315, ..., 3.2052, 0.1157, -0.2452], [-0.4852, -2.0224, -2.2545, ..., 2.9970, -0.5921, 0.7368], [-2.9297, -0.0956, -1.0080, ..., 2.3570, -3.3942, 0.9177]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [-2.5197, -4.1751, 0.1121, ..., 2.6917, 0.0420, -1.2030], [-0.6042, -2.8717, -1.9290, ..., 2.6819, -0.5994, -0.3347], [-2.9827, -0.9883, -1.2098, ..., 1.7645, -2.9372, 1.0532]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [-1.9896, -3.6550, -0.1931, ..., 1.7884, -0.8605, -1.6116], [-1.1046, -3.0902, -1.5775, ..., 2.6341, -2.0642, -0.2962], [-2.5134, -1.4954, -1.3125, ..., 1.5697, -3.4244, 1.6971]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [-2.4752, -4.8226, -2.1570, ..., 3.7299, -1.9209, -1.5795], [-2.3194, -5.0134, -3.0856, ..., 4.7717, -3.3695, -0.1986], [-2.1236, -1.8289, -1.3419, ..., 2.5041, -4.0712, 2.0934]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-0.9110, -1.0568, -1.3229, ..., 0.4377, -0.9389, -0.2351], [-0.9540, -1.2079, -1.6306, ..., 0.8405, -1.1080, 0.1097], [-0.9472, -0.3908, -1.1174, ..., 0.2863, -0.8876, 0.5446]]]) Query: - Theoriethemen - Übungen zur Konzeption eines mittelständischen Unternehmens (KMU) als Teil eines Konzerns - Übungen zum IT-Transfer: Abbildung von Geschäftsprozessen von KMUs in einer Business Suite (z. B. SAP Business ByDesign) Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-1.5732e-02, 8.2550e-03, 7.4692e-03, ..., 1.2413e-02, 5.2185e-03, 8.8654e-03], [-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03, 1.2177e-02, 7.6714e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0483, 0.0333, 0.0755, ..., -0.0151, -0.0658, 0.0333], [-0.0512, -0.0161, 0.0559, ..., -0.0284, 0.0115, 0.0271], [ 0.0211, -0.0159, -0.0198, ..., 0.0124, 0.0025, 0.0077]]]) 2: tensor([[[ 1.0109e-01, -1.8457e-01, 1.5029e-01, ..., -1.7510e-01, -1.9697e-01, -7.8638e-02], [-2.0358e-03, -1.0349e-01, -2.0788e-02, ..., 1.1819e-01, 4.5131e-02, 4.3589e-03], [-3.6629e-02, -5.1585e-03, 2.2301e-02, ..., 1.6284e-02, -7.3033e-02, -3.2806e-02], ..., [ 6.9765e-02, 5.2651e-03, -7.7284e-03, ..., -5.2996e-02, -1.6080e-01, 6.9476e-02], [-5.8378e-02, -1.8524e-02, 6.7024e-02, ..., -2.7891e-03, 2.2861e-02, 2.5625e-02], [ 7.8680e-02, -2.2488e-02, -2.2393e-02, ..., 3.6071e-02, -1.5761e-04, 2.5282e-03]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [ 0.2519, -0.0755, 0.0439, ..., 0.0778, 0.2336, -0.3418], [-0.0329, -0.0525, 0.1533, ..., 0.0778, 0.0128, 0.0209], [ 0.1499, -0.0507, 0.0177, ..., 0.0433, 0.0188, 0.0455]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.1297, -0.0978, -0.2169, ..., 0.2739, 0.0133, -0.4061], [-0.0750, 0.0389, 0.1304, ..., 0.0943, -0.0126, 0.0392], [ 0.1359, -0.0421, 0.0174, ..., 0.0470, -0.0563, 0.0740]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.1538, -0.2687, -0.1527, ..., 0.3489, 0.0327, -0.5093], [-0.0808, -0.0240, 0.0940, ..., -0.0243, -0.0718, 0.2346], [ 0.1572, -0.0612, 0.0147, ..., 0.0015, -0.0021, 0.2792]]]) 6: tensor([[[-2.3995e-01, -4.6932e-01, -2.1293e-01, ..., 3.7170e-01, 5.7616e-02, 2.8950e-01], [-1.1711e-01, -3.2389e-01, 6.7573e-01, ..., 1.7863e-01, -3.5874e-01, -2.3433e-01], [-3.3049e-03, -2.6740e-01, 3.7956e-01, ..., -5.8433e-03, -3.4639e-01, -3.8379e-01], ..., [-2.8614e-02, -1.7990e-01, 9.6773e-02, ..., 3.0400e-01, 3.6502e-01, -6.4204e-01], [-1.1027e-01, -1.7073e-01, 3.8821e-01, ..., 1.5272e-01, 2.3705e-01, -3.2543e-04], [ 3.0266e-01, -2.0971e-01, 7.4628e-02, ..., 3.3301e-02, 7.5871e-02, 2.5270e-01]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.2823, -0.5142, 0.2109, ..., 0.2586, 0.1342, -0.8073], [-0.1339, -0.1098, 0.3622, ..., 0.1739, 0.1848, 0.0012], [ 0.1760, -0.2389, 0.2656, ..., 0.0439, -0.1085, 0.2597]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.0854, -0.7546, 0.3508, ..., 0.2079, 0.3151, -0.6979], [-0.1874, -0.4891, 0.4208, ..., 0.0278, -0.0746, 0.0806], [ 0.1975, -0.6238, 0.2692, ..., -0.3194, -0.6664, 0.2094]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [ 3.3322e-02, -5.5208e-01, 5.9400e-01, ..., 5.6603e-02, 7.2141e-01, -7.1338e-01], [-9.6819e-02, -6.0358e-01, 1.5614e-01, ..., 2.8933e-01, 2.7485e-02, -1.5019e-02], [-1.4347e-01, -9.5169e-01, 1.7807e-01, ..., -3.6655e-02, -4.4095e-01, 2.4778e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [ 0.2158, -0.7166, 0.8427, ..., 0.0344, 0.7364, -0.7681], [-0.0055, -0.6054, -0.3283, ..., 0.2514, 0.0633, -0.1508], [ 0.1764, -0.7712, 0.1779, ..., -0.1181, -0.5048, 0.0135]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [ 0.4358, -0.3692, 0.8106, ..., 0.1630, 1.2669, -0.7236], [ 0.0712, -1.0783, -0.3073, ..., 0.4940, -0.1046, 0.1643], [-0.0053, -0.8684, 0.4419, ..., 0.2037, -0.8565, -0.2148]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [ 0.1412, -0.2577, 0.8694, ..., -0.0827, 1.1512, -0.9579], [ 0.0057, -1.0764, -0.6095, ..., 1.0204, 0.1155, 0.1074], [-0.1054, -0.7850, 0.3492, ..., 0.1030, -1.1896, -0.1587]]]) 13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02, -2.0185e-01, 4.5267e-01], [-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01, -3.1000e-01, 1.2849e-01], [-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01, -6.6826e-01, -4.8370e-01], ..., [-2.8366e-01, -2.7610e-01, 7.9779e-01, ..., -1.9170e-01, 1.4134e+00, -9.6282e-01], [-3.2821e-01, -1.2620e+00, -5.6965e-01, ..., 9.3386e-01, -2.2647e-01, -3.6721e-01], [-3.7231e-01, -8.6096e-01, 2.1687e-01, ..., -3.4412e-01, -1.4187e+00, 2.4747e-01]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [ 0.1518, 0.0353, 0.5404, ..., 0.0735, 1.2206, -1.1532], [-0.1339, -1.4356, -0.0874, ..., 0.4293, 0.0254, -0.4904], [ 0.0519, -1.1382, 0.1589, ..., -0.1454, -1.5666, 0.0085]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.4179, -0.0613, 0.3381, ..., 0.2488, 1.6403, -1.0376], [ 0.0043, -1.4951, -0.3074, ..., 0.5188, 0.2055, -0.4219], [ 0.4067, -1.6352, -0.5835, ..., 0.1707, -1.6975, 0.4433]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [ 0.3801, -0.4444, 0.1778, ..., -0.0398, 1.6738, -0.8500], [-0.2363, -1.5528, -0.6290, ..., 0.3115, 0.3535, -0.3240], [ 0.6485, -2.3032, -0.7009, ..., -0.2418, -1.8321, 0.8677]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.5914, -0.6899, 0.1008, ..., 0.0997, 1.9314, -0.8540], [ 0.0266, -1.6109, -0.8935, ..., 0.0390, 0.4864, -0.5276], [ 0.3348, -1.8527, -0.4143, ..., 0.0705, -2.0230, 1.1469]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [ 1.1251, -0.4460, 0.0435, ..., -0.0879, 1.8720, -0.5229], [ 0.1666, -1.4643, -1.1891, ..., 0.4416, 0.0708, -0.6073], [ 0.4989, -1.7270, -0.0673, ..., 0.6524, -2.6231, 0.5161]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [ 1.2183, -0.2838, -0.3662, ..., -0.6971, 2.4582, -0.6760], [-0.0385, -2.2666, -1.7383, ..., 0.1665, 0.7334, -0.3126], [ 0.8937, -1.9950, -0.8505, ..., 0.6518, -2.3599, 0.2995]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [ 1.5933, -0.5843, -0.3757, ..., -0.5810, 2.6339, -0.6939], [-0.1284, -1.7194, -1.4731, ..., 0.4135, 0.8510, -0.2524], [ 1.1016, -2.1314, -0.1456, ..., 0.5704, -2.2756, -0.1838]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [ 1.4767, -1.1923, -0.3724, ..., -1.0477, 3.1372, -1.1576], [-0.7586, -2.4993, -1.5565, ..., 0.1866, 0.8714, -0.9087], [ 1.1544, -2.2786, -0.4314, ..., 0.4523, -2.4855, -0.1664]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [ 1.2554, -1.0590, -0.2612, ..., -0.9433, 3.7405, -0.7184], [-0.0339, -2.7306, -1.6950, ..., -0.0951, 1.2772, -0.8340], [ 0.6576, -2.5540, 0.1099, ..., 0.3822, -2.3626, 0.7545]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [ 1.0159, -0.9987, -0.0394, ..., -1.1041, 3.6619, -0.8492], [ 0.1595, -3.1461, -1.3301, ..., -0.9908, 0.8076, -1.1144], [ 0.8278, -2.2327, -0.1386, ..., 0.2227, -2.1093, 0.4210]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 0.6124, -0.9998, -0.3308, ..., -1.3693, 4.1769, -1.0143], [ 0.5745, -3.1421, -1.5267, ..., -1.7079, 1.4340, -0.7926], [ 0.9268, -2.0843, 0.1567, ..., 0.4877, -2.2529, -0.0367]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [ 0.8564, -0.8415, -0.0996, ..., -1.6906, 4.5120, -1.1202], [ 0.9566, -3.2228, -1.3688, ..., -2.5520, 1.5946, -0.7580], [ 1.4266, -1.6986, 0.2565, ..., 0.2426, -2.3682, -0.6090]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [ 0.8931, -1.2821, -0.3206, ..., -1.2581, 3.8302, -0.6784], [ 1.8422, -4.0961, -1.8966, ..., -2.0031, 1.4461, -1.6140], [ 1.0544, -1.8964, -0.3920, ..., 0.1599, -2.7726, -0.2911]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [ 0.0281, -1.4363, -1.0788, ..., -1.5645, 3.7218, -0.8461], [ 1.7421, -4.3499, -2.5445, ..., -2.3131, 2.2590, -1.7017], [ 0.5468, -2.1854, -0.3653, ..., 0.4796, -2.0527, -0.0683]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 0.2220, -2.4069, -1.4330, ..., -1.6126, 4.0423, -0.1088], [ 1.9724, -5.0536, -2.6486, ..., -2.2366, 1.9827, -1.4700], [ 0.9700, -1.9971, -0.4854, ..., 0.4750, -1.8025, -0.0112]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [ 0.1879, -3.6423, -0.5377, ..., -0.9241, 4.4608, 0.3712], [ 1.7701, -5.8347, -2.0340, ..., -2.2114, 2.3166, -1.9205], [ 1.0780, -2.1911, -0.8117, ..., 0.4539, -2.7791, -0.6257]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [ 6.1911e-01, -4.5493e+00, -1.2202e+00, ..., -4.3174e-01, 3.6283e+00, 2.4023e-01], [ 2.4575e+00, -6.1732e+00, -2.7393e+00, ..., -2.1426e+00, 2.2299e+00, -1.7351e+00], [ 8.1396e-01, -1.8410e+00, -9.7311e-01, ..., 7.5152e-01, -2.4810e+00, -1.2283e+00]]]) 31: tensor([[[ 6.6548e-01, -9.5977e-01, 2.4467e-01, ..., 1.7063e-01, -7.7761e-01, 1.7881e-01], [ 6.9416e-01, -2.3152e+00, 4.6663e-02, ..., -1.0002e+00, -4.1053e+00, 4.5923e-01], [ 4.6741e-01, -1.8792e+00, 4.0657e-01, ..., -1.1411e+00, -1.8999e+00, 8.6140e-02], ..., [ 1.4859e+00, -4.0551e+00, -8.9097e-01, ..., -1.1116e+00, 3.5376e+00, -1.1559e-01], [ 3.6875e+00, -6.5784e+00, -2.3068e+00, ..., -3.0117e+00, 2.5816e+00, -8.4136e-01], [ 1.0874e+00, -1.5460e+00, 2.3571e-01, ..., -2.8362e-03, -1.9249e+00, -8.1092e-01]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 2.0009, -4.5069, -0.7690, ..., -1.4365, 3.6762, -0.1358], [ 3.2650, -6.5801, -1.9769, ..., -4.1966, 2.8711, -1.3407], [ 0.4074, -1.8263, -0.0213, ..., -0.4844, -2.0412, -1.4058]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [ 1.6547, -4.5278, -0.5432, ..., -1.2011, 4.5377, 0.0799], [ 3.2729, -6.8924, -1.1605, ..., -4.6894, 2.9948, -0.9891], [ 0.6562, -1.1649, -0.0959, ..., -0.4247, -1.9309, -0.4397]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [ 1.7613, -5.3548, -1.6240, ..., -1.2681, 3.7447, -0.0508], [ 2.9473, -7.3320, -0.9368, ..., -4.4878, 2.4977, -0.8942], [ 0.3979, -0.8945, 0.3399, ..., -1.7193, -1.4792, -0.1803]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [ 2.4389, -5.4055, -1.7734, ..., -0.9041, 3.4900, -0.4976], [ 3.1157, -7.8474, -1.3612, ..., -3.6782, 2.2120, -1.8985], [ 0.4117, -0.7019, 0.1229, ..., -2.5291, -1.8435, -1.5425]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [ 1.3719, -5.0139, -2.3965, ..., -0.7692, 5.0397, -1.1525], [ 2.6681, -8.6185, -3.2607, ..., -3.7209, 2.5472, -3.1361], [ 0.2330, -1.4498, 0.2523, ..., -2.6222, -2.1521, -2.4110]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 2.2586, -6.4658, -1.4930, ..., -1.3412, 5.3140, -0.2219], [ 3.0780, -8.7738, -3.2906, ..., -4.7551, 2.2189, -1.6209], [ 0.5982, -2.2273, 0.6857, ..., -2.7052, -1.8592, -3.1444]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 1.6321, -6.4100, -2.4735, ..., -0.4784, 7.2387, 1.0416], [ 4.0186, -10.0832, -3.9601, ..., -3.7966, 2.5179, -3.9733], [ 1.1371, -1.8795, 1.3860, ..., -3.5708, -0.8234, -3.0916]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 2.1876, -6.2358, -4.7253, ..., -0.6470, 6.9285, 0.2888], [ 2.7653, -10.2867, -4.7055, ..., -1.6562, 1.8273, -4.3919], [ 2.7001, -3.0720, 2.9328, ..., -3.5839, -1.8455, -4.2897]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [ 0.0509, -1.3075, -2.1349, ..., -0.4163, 1.0571, -0.0167], [ 0.0313, -1.7499, -0.7497, ..., 0.6045, 0.7351, -1.0243], [-0.1381, -0.7208, -0.3147, ..., -0.9647, -0.8929, -0.9241]]]) Query: Die Studierenden sind in der Lage, - ein kleines Projekt selbstständig zu managen, - eine projektspezifische virtuelle Rechnerinfrastruktur zu entwerfen, zu implementieren und zu warten, - fachliche und Anwendungsdomänen-spezifische Techiken und Methoden aus dem Projektumfeld anzuwenden und damit Software-Lösungen zu entwickeln Modulhandbuch – Fakultät für Informatik 22 Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.4016e-03, -7.2823e-03, -5.4016e-03, ..., -1.5320e-02, -1.1337e-02, -5.9319e-03], [ 4.2328e-02, 1.2329e-02, 1.8263e-03, ..., 1.1559e-02, -3.9177e-03, -2.0721e-02], ..., [-1.9775e-02, -1.0178e-02, -4.5624e-03, ..., 1.0338e-03, 2.7905e-03, -1.1627e-02], [-1.9775e-02, -1.0178e-02, -4.5624e-03, ..., 1.0338e-03, 2.7905e-03, -1.1627e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.0314, -0.0132, -0.0158, ..., -0.0881, -0.1152, -0.0271], [ 0.1400, 0.0837, -0.0302, ..., -0.0135, -0.0058, 0.0428], ..., [-0.0258, -0.0317, -0.0248, ..., -0.0414, 0.0258, -0.0187], [-0.0296, -0.0267, -0.0280, ..., -0.0385, 0.0299, -0.0117], [ 0.0285, -0.0126, -0.0231, ..., 0.0231, -0.0112, 0.0279]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [ 0.0348, -0.1445, 0.0878, ..., -0.1148, -0.0753, -0.0537], [ 0.0884, 0.0330, 0.0115, ..., 0.0838, 0.0525, -0.0172], ..., [-0.0218, -0.0200, -0.0525, ..., -0.0996, 0.1105, -0.0032], [-0.0705, -0.0004, -0.0135, ..., -0.0349, 0.0593, 0.0409], [ 0.1028, -0.0048, -0.0022, ..., 0.0058, -0.0059, 0.0408]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [-0.0298, -0.1772, 0.2839, ..., 0.0364, -0.0223, -0.1837], [ 0.0425, -0.0423, 0.0465, ..., -0.0349, 0.0801, -0.0365], ..., [ 0.0025, 0.0244, -0.0123, ..., -0.1581, 0.1983, -0.0016], [-0.0552, 0.0804, 0.0747, ..., -0.0803, -0.0244, 0.0595], [ 0.1018, -0.0408, 0.0323, ..., 0.1001, -0.0491, 0.0867]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.1007, 0.0613, 0.3586, ..., -0.1072, -0.0153, 0.0184], [-0.0621, -0.0707, 0.0541, ..., -0.0362, 0.0403, 0.0984], ..., [-0.0763, 0.1114, -0.0300, ..., -0.0993, 0.1679, -0.0559], [-0.1273, 0.0353, -0.0563, ..., -0.0680, 0.0105, 0.1027], [ 0.2716, 0.2088, -0.1170, ..., 0.2057, -0.1556, 0.2734]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0952, -0.0168, 0.3893, ..., 0.0472, 0.2085, 0.0845], [-0.0422, -0.1415, 0.0157, ..., 0.2136, 0.1239, 0.2048], ..., [-0.0598, 0.2013, -0.0639, ..., -0.0601, 0.2222, -0.1113], [-0.1209, 0.0905, -0.0986, ..., -0.0483, 0.0628, 0.1325], [ 0.2123, 0.2625, -0.2075, ..., -0.0035, -0.1479, 0.3679]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.3425, -0.0278, 0.2310, ..., -0.0375, 0.1245, -0.0776], [-0.2438, -0.0786, 0.1758, ..., 0.2076, 0.1843, 0.2911], ..., [-0.0030, 0.0671, -0.1074, ..., 0.1358, 0.4270, -0.1194], [-0.1003, -0.1142, -0.0676, ..., 0.1608, 0.1198, 0.0979], [ 0.2198, -0.0215, -0.0295, ..., 0.2022, 0.1531, 0.3408]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.0962, -0.1794, 0.3917, ..., -0.0952, 0.0395, -0.2583], [-0.3357, 0.0569, 0.1794, ..., -0.0757, 0.5264, 0.2868], ..., [-0.0394, 0.0929, -0.1679, ..., 0.3291, 0.3302, -0.0229], [-0.0922, -0.1112, -0.0893, ..., 0.2988, 0.1226, 0.0722], [ 0.4503, -0.0111, -0.1795, ..., 0.3006, 0.0216, 0.5355]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.3889, 0.1364, 0.6501, ..., -0.0281, 0.2724, -0.3429], [-0.5046, 0.1859, 0.1972, ..., -0.0623, 0.6860, 0.3724], ..., [ 0.0312, 0.0469, -0.1662, ..., 0.4145, 0.4057, 0.1368], [-0.0756, 0.0325, 0.0648, ..., 0.3429, 0.1726, 0.3382], [ 0.4013, -0.0416, -0.1613, ..., -0.0149, 0.1368, 0.5211]]]) 9: tensor([[[ 0.1666, -1.0333, -0.5140, ..., 0.1680, -0.0787, 0.3080], [-0.3814, 0.0549, 0.7141, ..., 0.0967, 0.2219, -0.5054], [-0.8664, 0.1969, 0.3250, ..., -0.0557, 0.6567, 0.3088], ..., [-0.2085, -0.1076, -0.1613, ..., 0.4537, 0.3789, 0.1217], [-0.0181, -0.1245, -0.0048, ..., 0.3135, 0.2839, 0.3244], [ 0.2923, -0.5993, -0.0661, ..., -0.0411, 0.2077, 0.3507]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.4816, -0.0760, 0.7342, ..., 0.0525, 0.1009, -0.8653], [-0.8986, 0.3398, 0.1489, ..., -0.1862, 0.7247, 0.2194], ..., [-0.1968, -0.1243, -0.0542, ..., 0.1665, 0.4273, 0.2565], [ 0.1166, -0.1085, 0.1589, ..., 0.2214, 0.1911, 0.3644], [ 0.4361, -0.3525, 0.1586, ..., 0.0411, 0.2391, 0.2964]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.6774, 0.1147, 0.8463, ..., -0.2003, 0.0246, -0.5878], [-0.8356, 0.2223, 0.2051, ..., -0.0289, 0.5588, -0.0436], ..., [-0.1984, -0.3337, 0.1801, ..., 0.2399, 0.5590, 0.1666], [ 0.1086, -0.1880, 0.2714, ..., 0.4632, 0.4126, 0.4622], [ 0.4580, -0.1963, 0.0477, ..., 0.1500, 0.2533, 0.5199]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4822, 0.2293, 0.7352, ..., -0.1531, 0.3189, -0.4668], [-0.7606, 0.4502, 0.1782, ..., -0.3534, 0.6059, -0.2845], ..., [ 0.1362, -0.3064, 0.1462, ..., 0.3478, 0.3468, 0.3321], [ 0.3689, -0.1695, 0.4225, ..., 0.6293, 0.1046, 0.4142], [ 0.5113, -0.3532, 0.1872, ..., 0.2161, 0.0773, 0.5320]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.5892, -0.0668, 0.2954, ..., 0.4923, 0.4283, -0.3478], [-0.5394, 0.6289, -0.0081, ..., -0.2932, 0.1695, -0.3400], ..., [ 0.2948, -0.3168, -0.1640, ..., -0.0163, 0.1026, 0.5883], [ 0.1214, -0.4660, 0.2656, ..., 0.2772, -0.0956, 0.5499], [ 0.6015, -0.2808, -0.1295, ..., 0.1112, 0.0612, 0.6436]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.5613, 0.1835, 0.2007, ..., 0.5506, 0.7094, -0.4538], [-0.8604, 0.4632, 0.0515, ..., -0.2653, 0.2988, -0.1526], ..., [-0.0622, -0.5913, -0.0039, ..., 0.1568, 0.5537, 0.1668], [-0.0941, -0.3452, 0.4690, ..., 0.6357, 0.0736, 0.3660], [ 0.4361, -0.1469, -0.2600, ..., 0.3943, 0.7429, 0.8270]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.3799, 0.4772, 0.1746, ..., 0.3410, 0.7986, -0.1130], [-0.9207, 0.3409, 0.2368, ..., -0.4309, 0.5466, 0.1221], ..., [ 0.6858, -0.5729, -0.4206, ..., 0.5459, 0.5928, 0.5220], [ 0.2303, -0.2925, 0.2373, ..., 1.0232, 0.1814, 0.8187], [ 0.4189, -0.0990, -0.3440, ..., 0.2111, 0.9316, 0.6756]]]) 16: tensor([[[ 3.0450e-01, -1.0667e+00, -2.1152e-01, ..., -5.2158e-02, -1.1216e-01, 5.7830e-01], [-1.7745e-01, 4.3239e-01, 3.4623e-01, ..., -1.6465e-01, 6.8064e-01, -4.3865e-01], [-9.0053e-01, 5.8497e-01, 4.7138e-01, ..., 1.2389e-01, 7.3812e-01, 1.6099e-01], ..., [ 3.8010e-01, -8.4808e-01, -3.7556e-01, ..., 2.5641e-01, 8.1571e-01, 2.2658e-01], [ 1.1199e-01, -7.8992e-01, 1.2606e-01, ..., 6.0283e-01, 2.5277e-01, 6.6262e-01], [ 9.8295e-02, -1.2390e-01, 1.0412e-03, ..., 4.5023e-01, 1.0376e+00, 6.4527e-01]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [ 0.1394, 0.1578, 0.2010, ..., -0.3745, 0.5852, -0.5401], [-0.8800, 0.1826, 0.1795, ..., 0.1964, 0.9638, 0.0212], ..., [ 0.1142, -1.0934, 0.0532, ..., 0.3273, 1.0333, 0.3468], [-0.1364, -0.8424, 0.3633, ..., 0.8232, 0.6164, 0.4895], [-0.0645, 0.1094, 0.2321, ..., 0.4018, 0.9693, 0.0154]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.0587, -0.0768, 0.1106, ..., -0.4957, 0.3430, -0.6586], [-1.0650, 0.4030, 0.1930, ..., 0.2991, 0.7162, -0.2361], ..., [-0.3628, -0.9845, -0.4940, ..., 0.6541, 0.2708, 0.4040], [-0.2339, -0.6381, -0.0132, ..., 1.0546, 0.0744, 0.7508], [-0.3670, 0.1999, -0.0330, ..., 0.6814, 0.7087, 0.0901]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.1672, -0.2402, 0.1179, ..., -0.5150, 0.5125, -0.6390], [-0.5149, 0.7687, 0.3668, ..., 0.0490, 0.5433, -0.5278], ..., [-0.0772, -0.5978, -1.0649, ..., 0.4118, 0.4892, 0.5357], [ 0.3178, -0.2821, -1.1263, ..., 0.8012, 0.2561, 1.0099], [-0.8733, 0.2775, -0.4040, ..., 0.5847, 0.2816, 0.0458]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.2393, -0.1203, -0.0780, ..., -0.8767, 0.3679, -1.1687], [-0.3623, 1.0490, 0.3784, ..., 0.5495, 0.7109, 0.0375], ..., [ 0.0837, -1.0727, -0.7049, ..., 1.2270, 0.3845, 0.8184], [ 0.4019, -0.7271, -0.9941, ..., 1.3372, 0.1197, 1.0916], [-1.1032, 0.0039, -0.3057, ..., 0.7139, -0.0308, -0.1609]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.6168, 0.3442, 0.2393, ..., -1.4191, 0.5622, -1.9148], [-0.3870, 1.0493, 1.0232, ..., 0.9389, 0.2935, 0.2764], ..., [-0.1505, -0.8167, -0.7715, ..., 1.3807, -0.2854, 1.1026], [ 0.1522, -0.2861, -1.2927, ..., 1.5291, -0.2512, 1.1382], [-1.4717, 0.6277, -0.3393, ..., 0.5368, -0.4639, 0.0977]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4477, 0.8658, 1.1226, ..., -1.7330, 0.3925, -2.5433], [-0.7347, 1.5486, 1.5835, ..., 0.6815, 0.6137, 0.0684], ..., [-0.6746, -1.0422, -1.0225, ..., 1.3635, -0.8308, 1.0606], [-0.0056, 0.1104, -1.3837, ..., 1.1870, -0.2407, 1.3660], [-1.4426, 0.8244, -0.4971, ..., 0.6344, -0.3157, 0.3709]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 1.1902, 1.1793, 0.2496, ..., -2.6183, 0.0181, -2.6027], [ 0.6151, 1.7325, 1.5289, ..., 0.6071, 0.8957, -0.1639], ..., [-0.9470, -1.4353, -0.8474, ..., 1.0985, -1.0287, 0.6251], [-0.7801, -0.5415, -1.1670, ..., 0.7301, -0.9548, 0.7097], [-1.2645, 0.8900, -0.6051, ..., 0.2113, -0.3825, -0.2795]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 1.3079, 1.9014, 0.1168, ..., -2.9579, 1.0136, -3.0102], [ 1.4703, 2.9030, 1.5280, ..., 0.9282, 1.4056, -0.5773], ..., [-0.9531, -1.0681, -0.6418, ..., 1.2644, -1.1216, -0.1613], [-0.8451, -0.8662, -1.7004, ..., 0.9440, -1.4473, 0.3020], [-2.0701, 0.4268, -0.7611, ..., 0.1364, -0.4915, -0.6917]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 1.2887, 3.1195, 0.5099, ..., -3.1410, 0.8265, -3.5222], [ 1.5727, 2.9817, 3.0178, ..., 2.0017, 1.9856, 0.8335], ..., [-1.1967, -1.5435, -1.6346, ..., 1.1086, -0.8527, -0.4731], [-0.1070, -0.6360, -2.6462, ..., 1.4110, -0.9584, 0.2391], [-1.4253, 0.8339, -0.5430, ..., -0.0131, -0.6159, -0.9357]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 2.1170, 2.5406, 0.5568, ..., -2.5024, 1.1580, -3.6572], [ 2.0077, 2.7076, 3.1796, ..., 1.7921, 3.1051, 0.3964], ..., [-0.6079, -0.5356, -1.7881, ..., 2.0092, -0.2728, -0.8805], [ 0.1157, 0.1935, -3.0226, ..., 1.9547, -0.8248, 0.4728], [-1.6360, 1.5790, -0.5493, ..., 1.1398, -1.1481, -0.8892]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 1.3379, 3.0622, 0.4982, ..., -3.2566, 1.2575, -3.0621], [ 1.5631, 3.0329, 3.7311, ..., 1.7612, 2.7302, 1.3024], ..., [-1.5967, -1.0702, -2.2208, ..., 2.6096, 0.0726, -0.2010], [-1.1738, -0.8417, -3.0322, ..., 3.1689, -0.8041, 0.8348], [-1.9236, 0.6006, -0.2911, ..., 1.6364, -0.8697, -0.4841]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 1.5843, 2.8582, 0.5249, ..., -3.4097, 1.9343, -2.9662], [ 1.1870, 2.8459, 3.1192, ..., 1.5039, 2.6153, 0.8242], ..., [-1.8575, -1.4192, -1.9070, ..., 2.7522, -0.4457, -0.0512], [-1.5911, -0.9304, -3.0217, ..., 3.0357, -0.8778, 0.8198], [-2.2571, 0.4774, -0.6172, ..., 1.9286, -1.1386, -0.3841]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 1.7215, 3.3048, 0.1776, ..., -4.1976, 2.2226, -3.0607], [ 1.3420, 3.3170, 3.1180, ..., 1.4688, 2.0683, 0.4691], ..., [-2.2435, -1.1769, -2.4151, ..., 3.2649, -0.6156, -0.6346], [-1.9684, -0.7959, -3.5328, ..., 3.4956, -0.4138, 0.1584], [-2.3102, 0.9003, -0.8215, ..., 2.5111, -1.7312, -0.7181]]]) 30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787], [ 1.4173, 3.2630, -0.6404, ..., -4.4804, 1.6618, -3.1658], [ 1.3584, 4.2466, 2.5359, ..., 1.6166, 2.6813, -0.0913], ..., [-1.9038, -1.0335, -1.6349, ..., 3.1161, 0.0400, -1.1345], [-2.3766, -0.2517, -3.4838, ..., 3.9934, -0.0330, -0.3118], [-2.5208, 1.2775, -1.1956, ..., 3.0995, -1.7235, -0.9525]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 1.4615, 3.3916, -0.2536, ..., -5.2784, 2.0072, -3.3231], [ 1.6591, 3.8951, 2.2201, ..., 1.8906, 2.0295, -1.2280], ..., [-1.7139, -0.8994, -0.9607, ..., 3.1751, 0.7060, -0.7217], [-1.3568, 0.2095, -2.6007, ..., 3.7777, 0.5082, 0.5912], [-2.5507, 1.2495, -1.1415, ..., 2.4962, -1.9179, -0.0994]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 2.0288, 3.4331, -0.8790, ..., -5.0096, 1.7184, -3.4330], [ 1.5807, 3.1549, 2.2227, ..., 1.8808, 1.5281, -1.7718], ..., [-1.7901, -1.2373, -1.1578, ..., 3.3198, 0.5987, -0.5413], [-2.0626, -0.1006, -2.4822, ..., 3.4767, 0.9870, 0.3194], [-3.0817, 0.7573, -0.5913, ..., 2.2615, -2.3266, -0.2876]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 1.8583, 4.0141, -0.9734, ..., -5.9333, 2.0905, -3.3307], [ 1.0070, 3.2188, 1.9731, ..., 1.2526, 0.8178, -1.5600], ..., [-2.2350, -0.6613, -1.4801, ..., 4.0935, 0.4433, 0.1349], [-2.5797, 0.3072, -2.6850, ..., 3.5021, 1.1157, 0.6994], [-3.6940, 1.1891, -0.9177, ..., 2.7489, -1.9812, 0.3491]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 2.0030, 3.9488, -0.5989, ..., -5.9207, 1.9659, -2.7657], [ 0.3571, 2.8542, 2.0260, ..., 1.0885, 0.9702, -1.9109], ..., [-2.2463, -0.7183, -1.2397, ..., 3.3568, 0.8404, 0.1028], [-2.2465, 0.0286, -2.2754, ..., 3.1071, 1.1018, 1.6147], [-3.8588, 1.4029, -0.3303, ..., 2.2244, -2.0089, 1.2654]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.1691, 4.1692, -1.5696, ..., -5.4434, 1.2151, -3.6666], [-0.2417, 2.3720, 2.2759, ..., 0.9959, 1.6046, -2.2331], ..., [-2.4839, -1.0359, -2.0399, ..., 3.9752, 0.1145, -0.1448], [-2.2946, 0.1267, -3.2358, ..., 3.6931, 0.5852, 2.0554], [-3.4998, 1.8273, -0.8592, ..., 2.8809, -2.2420, 1.0545]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.0138, 4.6372, -1.4853, ..., -5.8695, 2.0432, -4.1288], [-0.0835, 2.0479, 3.0634, ..., 1.8259, 1.6257, -1.3732], ..., [-2.7275, -1.8497, -1.8664, ..., 4.4615, -0.9304, -0.0088], [-2.5507, -0.4113, -3.5359, ..., 3.6336, -0.9165, 1.8667], [-3.8509, 1.1686, -1.3723, ..., 2.8952, -4.0700, 0.7185]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 1.2874, 4.5292, -1.5664, ..., -5.9701, 2.3733, -4.1725], [-0.2766, 2.4303, 4.0938, ..., 1.8671, 1.9985, -1.3845], ..., [-3.5405, -2.7170, -1.5489, ..., 4.8370, -1.5676, -0.8126], [-2.8829, -1.6968, -3.5436, ..., 3.2056, -0.7261, 0.7234], [-3.4793, 0.3047, -1.5636, ..., 2.5553, -3.7961, 0.8171]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 1.0454, 4.6582, -2.5552, ..., -6.1068, 1.5839, -3.1076], [-0.4167, 2.3306, 3.8001, ..., 2.5002, 1.2226, -1.7264], ..., [-2.5581, -2.8105, -1.1608, ..., 4.0179, -2.3541, -1.8183], [-2.6934, -2.6073, -2.9021, ..., 3.0362, -1.5046, -0.0721], [-3.3161, 0.2536, -1.5011, ..., 2.0854, -4.4698, 0.3525]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 1.1201, 4.0922, -3.4734, ..., -5.2470, -0.9760, -2.8315], [-0.1410, 3.4196, 4.6781, ..., 1.8651, 0.5242, -2.1196], ..., [-2.5184, -3.1567, -1.9597, ..., 4.9844, -4.5285, -1.9329], [-3.3778, -4.1588, -3.5387, ..., 4.1400, -3.7953, -0.8896], [-3.2384, 0.3633, -1.2180, ..., 2.7871, -6.2730, -0.0726]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [-0.2367, 0.8228, -1.0972, ..., -1.0244, -0.2596, -0.2143], [-0.2036, 0.5696, 0.9712, ..., 0.0561, 0.0137, -0.8077], ..., [-0.7821, -0.7407, -1.1082, ..., 0.5648, -1.3828, -0.2447], [-1.0867, -1.0989, -1.4760, ..., 0.5809, -1.1103, -0.0562], [-1.0279, -0.1539, -0.9262, ..., 0.3342, -1.2157, 0.1837]]]) Query: - Was ist ein Projekt? - Aufgaben- vs. Terminplanung - Werkzeuge für Projektmanagement - Qualitätsmanagement und Projektkontrolle - Rollen im Projekt - Klassisches Projektmanagement - Agiles Projektmanagement (z. B. Scrum und KANBAN) Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [ 2.7695e-02, -5.2338e-03, 7.8049e-03, ..., -1.6937e-02, -1.0689e-02, -1.2527e-02], [-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03, 1.2177e-02, 7.6714e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [ 0.0748, 0.0703, 0.0652, ..., -0.1011, -0.0296, 0.0200], [-0.0559, -0.0044, 0.0685, ..., -0.0376, 0.0089, 0.0362], [ 0.0047, -0.0136, -0.0108, ..., 0.0080, -0.0107, -0.0045]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.0874, 0.0742, 0.1726, ..., -0.1440, -0.1161, -0.0154], [-0.0733, 0.0177, 0.0623, ..., 0.0084, -0.0149, 0.0662], [ 0.0734, 0.0072, -0.0344, ..., 0.0122, -0.0092, 0.0233]]]) 3: tensor([[[-1.9800e-01, -3.3942e-01, -4.2058e-02, ..., 2.4201e-01, -1.8482e-03, 2.3642e-01], [ 6.3164e-03, -1.1051e-01, 1.2247e-01, ..., 1.1971e-01, -1.1239e-01, -1.1990e-01], [ 5.6959e-02, -1.7716e-02, 2.3296e-01, ..., 1.0118e-01, -1.5980e-01, -1.2152e-01], ..., [ 2.4781e-01, 3.3280e-01, 1.9939e-01, ..., -2.5899e-01, 1.1909e-02, -1.2168e-01], [ 1.7234e-02, 3.7844e-02, 1.4878e-01, ..., 5.1355e-02, -7.9053e-03, 2.0182e-02], [ 1.5468e-01, -2.6562e-02, -2.2344e-02, ..., -2.0226e-04, -4.1539e-02, 4.2955e-02]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.1263, 0.4558, 0.2564, ..., -0.1877, -0.0121, -0.0159], [-0.0470, 0.0389, 0.1301, ..., -0.0303, -0.0154, 0.1889], [ 0.1373, -0.0570, -0.0419, ..., -0.0145, -0.1655, 0.1914]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [-0.0485, 0.4662, 0.3228, ..., -0.0378, -0.0257, -0.0039], [ 0.0798, 0.0826, -0.0354, ..., -0.0689, -0.3923, 0.2026], [ 0.2263, -0.0702, -0.1425, ..., -0.0225, -0.2694, 0.3229]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.1508, 0.4812, 0.4411, ..., 0.0786, 0.1428, -0.2134], [-0.0691, 0.0504, -0.0182, ..., -0.0811, -0.1106, 0.1646], [ 0.1566, -0.1152, -0.0665, ..., -0.1397, -0.2368, 0.3046]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.2229, 0.6357, 0.3740, ..., 0.1690, 0.1877, -0.3997], [-0.1607, 0.2343, -0.0495, ..., 0.2035, 0.0382, 0.0018], [ 0.0357, -0.0888, 0.1156, ..., 0.0388, -0.1388, 0.2677]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [ 0.0315, 0.3385, 0.3858, ..., 0.1909, 0.0780, -0.6512], [-0.1054, 0.1577, -0.1096, ..., 0.4957, -0.0605, -0.1635], [ 0.4189, -0.0965, 0.1885, ..., 0.2090, -0.2078, 0.3532]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-2.3666e-01, 6.2880e-01, 4.8647e-01, ..., 1.2145e-01, 8.4251e-02, -7.2516e-01], [-1.5492e-01, 8.3558e-02, -3.4744e-01, ..., 3.9542e-01, -1.4208e-01, -4.6048e-02], [-1.6465e-01, -4.4199e-01, 5.3484e-02, ..., 3.0476e-01, -1.9628e-01, 5.4139e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.6668, 0.4003, 0.3641, ..., 0.1531, -0.0177, -0.5707], [-0.0481, 0.0353, -0.7790, ..., 0.4532, -0.0326, 0.1803], [-0.0079, -0.2203, -0.0050, ..., 0.2738, -0.6160, 0.6555]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.7319, 0.1304, 0.6598, ..., 0.0418, 0.2797, -0.7095], [-0.4208, 0.0043, -0.7835, ..., 0.1740, 0.0237, 0.0131], [ 0.1015, -0.1348, 0.1515, ..., 0.3820, -0.8084, 0.2014]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.6410, 0.0884, 0.6342, ..., 0.2623, 0.1768, -1.0290], [-0.4784, -0.0818, -0.4860, ..., 0.4227, -0.2477, 0.2272], [ 0.1852, -0.4130, 0.0810, ..., 0.5568, -0.8279, -0.1184]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [-1.2399, 0.0437, 0.8962, ..., 0.1143, 0.1167, -1.2546], [-0.8845, -0.6290, -1.0012, ..., 0.4641, -0.5627, 0.0163], [ 0.1607, -0.8248, 0.2493, ..., 0.0191, -0.9002, 0.4308]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [-1.0044, 0.4075, 0.8488, ..., 0.3505, 0.2822, -1.3675], [-0.5590, -0.9327, -0.8448, ..., 0.3439, -0.3738, -0.0991], [ 0.5310, -1.1615, 0.0803, ..., 0.4015, -0.7725, 0.1882]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [-1.1348, 0.4534, 0.8851, ..., 0.2094, 0.3947, -1.0662], [-0.9455, -0.7548, -1.4074, ..., 0.2942, -0.4250, -0.0263], [ 0.9266, -1.0409, -0.2234, ..., 0.1733, -0.6034, 0.3019]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-1.4372, 0.0675, 0.6423, ..., 0.4675, 0.4281, -1.7433], [-0.9768, -0.6885, -1.6630, ..., 0.0146, -0.4741, -0.0231], [ 0.7239, -1.3150, 0.0261, ..., 0.1394, -1.3166, 0.6255]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-1.7529, 0.0035, 1.1181, ..., 0.3307, 0.5912, -2.0479], [-1.5195, -0.9020, -1.4265, ..., -0.5236, -0.3849, 0.0936], [ 0.0829, -0.9586, 0.0967, ..., -0.2044, -1.0705, 0.7106]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-1.4035, 0.2749, 0.6651, ..., -0.2234, 0.8108, -2.0822], [-1.4032, -0.5164, -1.5834, ..., -0.9917, -0.4092, -0.0538], [ 0.0274, -0.9801, -0.0499, ..., 0.3523, -1.4433, 0.2636]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-1.0759, 0.0421, 0.5063, ..., -0.6837, 0.8078, -2.3586], [-1.3534, -1.1179, -1.7493, ..., -1.4582, -0.6614, -0.0756], [-0.2008, -1.5560, -0.6367, ..., 0.0503, -1.3935, 0.0484]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.5972, 0.1977, 0.1433, ..., -0.9781, 1.6239, -2.5629], [-1.2919, -0.9536, -1.8125, ..., -1.5579, -0.3942, -0.2705], [ 0.0519, -2.1947, 0.0354, ..., 0.0071, -1.1920, -0.3691]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.9749, 0.4588, 0.5539, ..., -1.1444, 2.0389, -3.1276], [-1.5225, -1.4084, -1.9914, ..., -1.2132, -0.4758, -1.1141], [-0.0667, -2.5696, -0.0958, ..., -0.1260, -1.5348, -0.2818]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.9118, 1.0479, 0.6513, ..., -0.7210, 1.9729, -2.9979], [-1.7931, -1.9139, -2.0770, ..., -1.3370, 0.1642, -1.4397], [-0.5033, -2.3731, 0.2662, ..., -0.3064, -1.4776, 0.2932]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-0.6172, 1.0251, 0.3575, ..., -1.3167, 0.8852, -4.1214], [-1.1894, -1.9865, -1.9900, ..., -2.2698, -0.1269, -1.6651], [-0.3339, -1.7235, -0.0268, ..., -0.3457, -1.5030, -0.2371]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 0.2733, 1.2425, 0.8600, ..., -1.4641, 1.4635, -4.2110], [-0.8949, -1.7802, -2.3688, ..., -3.2805, -0.0283, -1.4076], [-0.2351, -1.6045, 0.2138, ..., -0.4642, -1.2159, -0.2742]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [-0.2220, 0.9389, 1.2029, ..., -1.8964, 2.0706, -3.9357], [-0.8862, -1.4651, -2.6995, ..., -3.7711, -0.2044, -1.6786], [-0.1161, -0.7137, -0.2014, ..., -0.7110, -1.6061, -1.1093]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [ 0.0400, 0.1203, 0.8608, ..., -1.1858, 2.2087, -4.7772], [-0.7713, -2.0117, -3.1223, ..., -2.9135, -0.3888, -2.1989], [-0.8566, -0.8174, -0.5389, ..., -0.3742, -2.1508, -1.2949]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [ 0.0976, -0.1537, 0.7916, ..., -1.2162, 2.2180, -4.7601], [-1.5316, -2.8800, -3.1318, ..., -3.4929, -0.1576, -2.2942], [-1.1866, -1.0948, -0.4757, ..., 0.3400, -1.4568, -1.0372]]]) 28: tensor([[[ 5.7670e-01, -9.1130e-01, 1.8270e-01, ..., 2.4412e-01, -5.8494e-01, 2.6317e-01], [ 4.5957e-01, -2.2676e+00, 3.1387e-02, ..., -7.7818e-01, -3.3262e+00, 7.4180e-01], [ 3.4506e-01, -2.3089e+00, 6.2453e-01, ..., -9.1803e-01, -1.8190e+00, 1.0701e-01], ..., [-1.8299e-03, -3.2630e-01, 7.7237e-01, ..., -9.6295e-01, 2.3832e+00, -4.7354e+00], [-1.8032e+00, -3.5989e+00, -3.2800e+00, ..., -3.1327e+00, -1.0971e-01, -2.3009e+00], [-5.4889e-01, -1.0750e+00, -5.0660e-01, ..., 6.1660e-01, -1.1483e+00, -1.4729e+00]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [-0.9035, -0.8116, 1.6184, ..., -0.5450, 2.5339, -5.1009], [-2.1065, -4.7195, -2.9377, ..., -3.1507, 0.0503, -2.5569], [-0.5019, -1.3827, -0.5970, ..., 0.4833, -1.8374, -1.8818]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [-1.1825e+00, -1.6518e+00, 8.1438e-01, ..., -9.0278e-01, 2.9122e+00, -5.9186e+00], [-1.8331e+00, -4.7280e+00, -3.2541e+00, ..., -3.0881e+00, -1.7952e-01, -2.4348e+00], [-5.1976e-01, -1.0773e+00, -8.0826e-01, ..., 7.1656e-01, -1.5054e+00, -2.3102e+00]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [-0.6195, -1.6927, 1.5699, ..., -1.1008, 2.7108, -5.6640], [-1.2799, -5.1184, -2.2628, ..., -3.4136, -0.3258, -1.7796], [-0.8033, -0.7108, 0.3586, ..., -0.4388, -0.8952, -1.6078]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [-0.2734, -1.2140, 1.4870, ..., -0.9130, 2.7025, -5.5403], [-1.8249, -4.9540, -1.7549, ..., -4.3232, -0.6870, -1.5157], [-1.5955, -1.0678, -0.1473, ..., -0.8292, -1.0732, -2.1532]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [-0.8107, -1.9115, 1.8717, ..., -1.2408, 3.1592, -4.5415], [-2.2238, -4.9518, -1.2659, ..., -4.2798, -0.2664, -1.1760], [-1.4281, -0.2985, -0.2363, ..., -0.7182, -0.7183, -1.5371]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-0.5706, -2.4820, 1.7416, ..., -0.7874, 2.2953, -4.3466], [-2.2354, -4.8924, -1.2873, ..., -5.1614, -0.4858, -0.6911], [-1.4506, -0.1318, 0.4120, ..., -1.5925, -0.3865, -1.1075]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-0.6596, -2.5245, 0.0901, ..., 0.2528, 1.6974, -4.8327], [-1.7658, -5.2280, -0.9198, ..., -5.1154, -0.5613, -1.3889], [-1.0905, -0.2760, 0.1588, ..., -2.1995, -0.6276, -1.9983]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [-1.7443, -2.1189, -0.6129, ..., 1.4108, 2.8206, -4.7465], [-1.4146, -5.4924, -2.2576, ..., -4.0968, 0.0671, -1.8173], [-0.9617, -1.0297, 0.7250, ..., -2.4868, -0.4419, -2.5276]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [-1.0636, -2.3266, -0.1926, ..., 1.0770, 3.6616, -4.1950], [-1.0363, -5.5816, -1.8370, ..., -4.2395, -0.6557, -2.0237], [-0.5368, -1.4081, 1.3754, ..., -2.5919, 0.2325, -3.0354]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [-1.7148, -1.9001, -1.2880, ..., 2.1939, 3.5369, -4.2569], [-0.5613, -5.2890, -3.4374, ..., -4.3259, -0.4067, -3.3002], [-0.2346, -1.4704, 1.8017, ..., -3.7730, 1.4009, -3.1823]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [-1.7814, -2.4368, -3.2770, ..., 2.5681, 3.5024, -4.5263], [-1.4068, -3.2408, -4.1971, ..., -2.0128, -1.6525, -3.3318], [ 0.5433, -1.3932, 3.4837, ..., -3.4471, -0.1755, -4.8689]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-0.7238, -0.6798, -2.2171, ..., 0.4116, 0.8068, -0.7546], [-0.3050, -0.1054, -0.4711, ..., 0.3687, 0.3955, -0.4804], [-0.5692, -0.5692, -0.1990, ..., -0.9908, -0.5485, -1.1331]]]) Query: - Parallelität und Nebenläufigkeit, Prozesse, Threads, Co-Routinen/Fibers - Thread-Konzepte in Java - kritische Abschnitte aufgrund konkurrierenden Zugriffs auf Daten in Java, gegenseitiger Ausschluss mit syn- chronized (intrinsic lock) - Deadlocks, Signalisieren (wait/notify) und Bedingungsvariablen (await/signal), Lebenszyklus von Threads, In- terrupts - Thread Pools, Callable, Future und FutureTask - Java Speichermodell bei Nebenläufigkeit, Memory Barriers - Locks (ReentrantLock, ReadWriteLock, StampedLock) und Semaphore - synchronisierte, unmodifiable und concurrent Collections in Java - atomare Variablen und ihre Verwendung - weitere Architekturen und Frameworks für nebenläufige und parallele Programmierung in Java und ggf. ande- ren Programmiersprachen: z. B. Actor Model, Communicating Sequential Processes, Fork-Join, Map-Reduce, Parallel Streams, Software Transactional Memory, RxJava, Datenparallelismus: GPGPU (OpenCL oder CUDA) - Performanzbetrachtungen - Entwurfsmuster (für nebenläufige und parallele Programme) - Praktische Übungen zur Implementierung asynchroner, nebenläufiger und paralleler Algorithmen mit Java und ggf. anderen Programmiersprachen Modulhandbuch – Fakultät für Informatik 25 Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-1.9775e-02, -1.0178e-02, -4.5624e-03, ..., 1.0338e-03, 2.7905e-03, -1.1627e-02], [ 1.9211e-02, 1.5564e-03, -2.3621e-02, ..., 2.1683e-02, 1.7548e-02, -2.1729e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0257, -0.0361, -0.0190, ..., -0.0356, 0.0262, -0.0245], [ 0.0433, -0.0124, 0.0153, ..., 0.0127, 0.0349, -0.0291], [ 0.0286, -0.0209, -0.0245, ..., 0.0179, -0.0230, 0.0222]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [-0.0236, -0.0160, -0.0527, ..., -0.1111, 0.1063, -0.0160], [ 0.0954, 0.0200, 0.0965, ..., 0.0387, 0.0428, 0.0122], [ 0.0933, -0.0092, -0.0011, ..., 0.0028, -0.0180, 0.0434]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.0110, 0.0051, -0.0247, ..., -0.1499, 0.1970, -0.0023], [ 0.0579, 0.2149, 0.2485, ..., 0.0968, -0.0413, 0.1189], [ 0.1069, -0.0260, 0.0321, ..., 0.0945, -0.0344, 0.0915]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [-0.0527, 0.0683, 0.0039, ..., -0.1141, 0.2087, -0.0520], [ 0.0489, 0.1594, 0.2964, ..., 0.1154, -0.0190, 0.2327], [ 0.2429, 0.1522, -0.0802, ..., 0.2282, -0.1122, 0.2593]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.0029, 0.0994, -0.0053, ..., -0.0993, 0.2524, -0.0975], [-0.0197, 0.2411, 0.3011, ..., 0.1415, 0.0444, 0.2755], [ 0.2028, 0.1498, -0.2103, ..., -0.0603, -0.0925, 0.3479]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.0597, 0.0389, -0.0428, ..., 0.0954, 0.5181, 0.0661], [-0.0306, 0.1198, 0.2124, ..., 0.2360, 0.2258, 0.2166], [ 0.1593, -0.0389, 0.0217, ..., 0.1563, 0.0711, 0.4819]]]) 7: tensor([[[ 2.5408e-01, -1.0928e+00, -5.3482e-01, ..., 2.6011e-01, -6.1664e-02, 3.3160e-01], [-1.2719e-01, -4.8139e-01, 7.0442e-01, ..., 2.2406e-01, -2.7598e-01, -1.4364e-01], [-6.3160e-02, -1.7604e-01, 3.8047e-01, ..., 1.5926e-01, -3.3858e-01, -4.0458e-01], ..., [ 8.0302e-03, 3.2705e-02, -4.5264e-02, ..., 2.5862e-01, 3.0696e-01, 1.4670e-01], [ 6.7935e-02, 6.2001e-04, 2.6968e-01, ..., 3.3829e-01, 8.0350e-02, 1.6495e-01], [ 4.2290e-01, -5.0925e-02, -5.9258e-02, ..., 3.5286e-01, 9.3511e-02, 6.2515e-01]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.0700, 0.0083, -0.0403, ..., 0.2391, 0.2314, 0.1419], [-0.0718, -0.0473, 0.3967, ..., 0.1831, 0.0092, 0.1770], [ 0.4262, -0.3135, 0.0513, ..., 0.1049, 0.0885, 0.5722]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-2.6307e-01, -1.7056e-01, -4.3617e-02, ..., 3.0897e-01, 2.0606e-01, 1.3405e-02], [ 1.8381e-02, -2.1687e-01, 2.5992e-01, ..., -3.1410e-02, 3.6023e-03, 2.1723e-01], [ 3.1038e-01, -6.5296e-01, 9.4363e-02, ..., -5.4944e-03, 1.1601e-01, 4.2772e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.1633, -0.2057, -0.0964, ..., 0.0256, 0.3722, 0.1502], [ 0.1772, 0.0187, 0.5296, ..., 0.0344, 0.0664, 0.1029], [ 0.4706, -0.4694, 0.2339, ..., 0.1524, 0.1676, 0.4693]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [ 0.0546, -0.3430, 0.1290, ..., 0.1881, 0.4811, 0.0466], [ 0.2617, -0.0493, 0.6550, ..., 0.1622, -0.0140, 0.4002], [ 0.4479, -0.3229, 0.1234, ..., 0.3442, 0.1175, 0.5085]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [ 0.2804, -0.3995, -0.1112, ..., 0.5107, 0.2837, 0.2996], [ 0.4276, -0.0807, 0.8206, ..., 0.3388, -0.3276, 0.4939], [ 0.3392, -0.3901, 0.2463, ..., 0.2515, -0.0393, 0.5089]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [ 0.5646, -0.2234, -0.0983, ..., 0.3591, 0.0657, 0.5003], [ 0.3027, -0.0750, 0.7211, ..., 0.1147, -0.5645, 0.5931], [ 0.6018, -0.1451, 0.0027, ..., 0.2327, -0.0499, 0.8734]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [ 0.2002, -0.2017, 0.0544, ..., 0.3127, 0.4296, 0.1164], [-0.1676, -0.1890, 1.1848, ..., 0.4364, -0.3594, 0.4031], [ 0.0622, -0.0990, 0.1733, ..., 0.3460, 0.7420, 1.0598]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.8666, -0.4601, -0.4046, ..., 0.5764, 0.4993, 0.5901], [ 0.3645, -0.2888, 0.9826, ..., 0.7413, -0.4125, 0.7845], [ 0.2904, -0.0444, 0.0251, ..., 0.2395, 0.8943, 0.9224]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [ 0.5621, -0.8556, -0.4970, ..., 0.4395, 0.4629, 0.1561], [ 0.4581, -0.5397, 0.7718, ..., 0.2914, -0.4193, 0.6108], [-0.0135, -0.5741, 0.1585, ..., 0.2994, 0.8489, 0.7519]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.4294, -1.0954, 0.1128, ..., 0.4846, 0.8212, 0.4117], [ 0.1902, -0.4904, 1.3293, ..., 0.1344, -0.2085, 0.6674], [-0.2780, -0.3890, 0.3383, ..., 0.6365, 0.7686, 0.6389]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [ 0.1873, -1.2974, -0.5212, ..., 0.7614, 0.0522, 0.3124], [ 0.2120, -0.4175, 1.4274, ..., 0.3261, -0.8347, 0.4534], [-0.3153, -0.6154, -0.1335, ..., 0.8345, 0.2224, 0.3150]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [ 0.4438, -0.9431, -1.2554, ..., 0.4474, 0.1060, 0.6073], [ 0.7571, -0.3714, 0.1528, ..., 0.0722, -0.5252, 0.8125], [-0.6274, -0.9405, -0.7470, ..., 0.7653, -0.0740, 0.3956]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [ 0.5040, -1.3239, -0.8335, ..., 1.1806, -0.0240, 0.8442], [ 0.8014, -0.6137, 0.3718, ..., 0.6061, -0.6558, 0.9306], [-1.0188, -1.1717, -0.7035, ..., 1.0342, -0.3807, 0.3306]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [ 0.1360, -1.0559, -0.8207, ..., 1.4957, -0.2596, 1.3029], [ 0.1269, 0.3921, 0.1876, ..., 1.1052, -0.5648, 0.8484], [-1.4495, -0.4137, -0.6485, ..., 1.1495, -0.7169, 0.4619]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.2205, -1.2582, -1.0321, ..., 1.4609, -0.8548, 1.4828], [-0.0759, 0.6079, 0.2169, ..., 0.4612, -0.3859, 1.4195], [-1.7526, -0.3147, -0.8147, ..., 1.2751, -0.8956, 0.7820]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-0.5344, -1.4865, -1.0688, ..., 1.3505, -0.9523, 1.0583], [-0.5184, 0.5954, 0.8178, ..., 0.6049, -0.6337, 1.1228], [-1.7910, -0.3828, -1.0884, ..., 0.8385, -0.8274, 0.2073]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [-0.5901, -1.3264, -1.0985, ..., 1.4394, -0.7829, 0.2597], [-0.4505, 0.4808, 0.6680, ..., 1.2345, -0.5102, 0.4809], [-2.2505, -0.8051, -1.6093, ..., 0.9591, -0.8442, -0.3576]]]) 25: tensor([[[ 4.9750e-01, -1.1003e+00, 2.2737e-01, ..., 1.5806e-01, -4.5602e-01, 4.4824e-01], [ 4.0992e-01, -2.1553e+00, -2.9907e-02, ..., -4.2417e-01, -2.9810e+00, 1.2847e-01], [ 1.4887e-01, -1.9066e+00, 3.9256e-01, ..., -1.2392e+00, -1.9434e+00, -3.8653e-02], ..., [-7.5176e-01, -1.5464e+00, -2.0242e+00, ..., 1.1191e+00, -3.5110e-01, -7.6173e-04], [ 1.3846e-02, 1.0182e+00, 9.1132e-02, ..., 1.4399e+00, 1.4756e-02, 5.9449e-01], [-1.9079e+00, -1.4740e-01, -1.5574e+00, ..., 1.1603e+00, -8.5918e-01, -5.0142e-01]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [-0.0410, -0.5971, -2.2626, ..., 1.6437, -0.0623, -0.5078], [ 0.1415, 1.8559, -0.2739, ..., 1.6495, 0.3638, 0.8800], [-1.7901, 0.7373, -1.8168, ..., 1.9184, -1.5438, -0.6294]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [-0.9759, -1.3027, -2.7654, ..., 2.1970, 0.5513, 0.1346], [-0.6577, 1.3623, -0.2760, ..., 2.6300, -0.1187, 1.5291], [-2.4118, 0.0046, -1.5792, ..., 2.5820, -1.3612, -0.2311]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [-1.4233, -1.7791, -2.3672, ..., 2.2751, 0.6167, -0.1342], [-1.0113, 1.4397, -0.4615, ..., 2.0913, 0.4890, 1.0498], [-2.4072, 0.2263, -1.5277, ..., 2.8378, -1.4420, 0.0062]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [-1.9869, -1.6784, -2.5164, ..., 2.5455, 0.5645, -0.6000], [-1.4835, 1.2904, -0.6465, ..., 2.1560, 0.8789, 0.5026], [-2.8272, 0.3131, -1.5172, ..., 3.4839, -1.7699, -0.5423]]]) 30: tensor([[[ 0.6667, -0.9469, 0.2013, ..., 0.1957, -0.7341, 0.1787], [ 0.8239, -2.3207, 0.0694, ..., -0.7621, -3.7438, 0.4443], [ 0.5519, -1.9823, 0.4187, ..., -0.8991, -1.8399, 0.0046], ..., [-1.5220, -1.5912, -1.6866, ..., 1.8789, 1.2957, -0.8956], [-2.5509, 1.8446, -0.5503, ..., 2.0715, 1.8554, 0.3668], [-2.7800, 0.8107, -1.6471, ..., 3.6905, -1.1563, -0.8048]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [-1.3856, -1.3337, -0.5481, ..., 1.4908, 1.6494, -0.1904], [-2.0361, 2.4475, 0.4056, ..., 1.0386, 2.0063, 1.4920], [-2.4024, 1.0953, -1.1626, ..., 3.0705, -1.6469, 0.2237]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [-1.4595, -1.5737, -0.8021, ..., 1.4094, 1.6502, -0.2909], [-2.7175, 2.3821, 0.9399, ..., 1.1213, 2.4524, 0.5656], [-3.1499, 0.8224, -0.7021, ..., 2.8987, -1.4834, -0.4824]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [-1.8059, -1.4392, -0.9640, ..., 1.9722, 1.6981, 0.1354], [-2.8234, 2.8340, 1.0806, ..., 0.8274, 3.0489, 1.5137], [-3.6579, 1.2000, -1.3312, ..., 3.4730, -0.9750, -0.1051]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-1.6045, -1.4103, -0.8730, ..., 1.8194, 2.1596, -0.2127], [-2.7728, 3.0174, 1.4115, ..., 1.0426, 3.1885, 2.4229], [-3.8641, 1.8654, -1.0810, ..., 3.3405, -1.1103, 0.9218]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-1.9144, -1.8381, -1.4676, ..., 2.0011, 1.9600, -0.5556], [-2.9947, 2.5877, 0.9072, ..., 1.4055, 2.6267, 2.2437], [-3.7733, 2.2387, -1.6002, ..., 3.8373, -0.9946, 0.5517]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [-1.9898, -2.5374, -0.9928, ..., 2.3309, 0.8328, -0.1657], [-2.6994, 2.1395, 1.3529, ..., 1.6038, 1.3369, 2.0990], [-3.8354, 1.3300, -1.4227, ..., 3.9060, -3.0181, 0.0838]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [-3.0407, -3.5352, -0.7436, ..., 2.3878, 0.6008, -1.0396], [-3.0988, 1.4671, 1.7932, ..., 0.2465, 1.7020, 0.6110], [-3.9784, 0.2454, -1.3444, ..., 3.3892, -2.1770, -0.3099]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [-2.7162, -3.6568, -0.2801, ..., 1.5569, -0.5864, -1.7826], [-3.4980, 2.1337, 2.4223, ..., -0.2469, 0.1495, 0.8450], [-3.5012, -0.3025, -0.9156, ..., 3.4120, -2.3986, -0.0935]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [-2.5299, -4.2639, -1.3151, ..., 2.8263, -2.0737, -2.3630], [-3.3274, 0.3638, 1.5120, ..., 2.4251, -0.5633, -0.2580], [-2.7056, -0.7525, -0.5690, ..., 4.6096, -3.4630, -0.1801]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-1.0000, -1.0259, -1.0993, ..., 0.2243, -0.8988, -0.2739], [-1.2126, -0.2452, -0.8164, ..., 0.3338, -0.3592, 0.1959], [-1.1320, -0.3460, -0.8497, ..., 0.7005, -0.4503, 0.3224]]]) Query: - Benutzung einer integrierten Entwicklungsumgebung (IDE), inklusive Debugger, Versionsverwaltung, automa- tisierte Tests - Konstrukte der imperativen Programmierung: Zuweisung, Bedingung, Schleife, Array, (statische) Methode und Parameter, Rekursion, RuntimeException - Speicherverwaltung (Stack und Heap) - Konstrukte der objektorientierten Programmierung: Klasse, Objekt, Attribut, (dynamisch gebundene) Methode - Interfaces und ihre Implementierung - Vererbung, Polymorphismus Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [ 6.2561e-03, -4.3297e-03, -3.0716e-02, ..., -8.3923e-03, -3.6287e-04, 6.7940e-03], [ 1.3321e-02, -1.0612e-02, 1.9852e-02, ..., -1.3893e-02, 3.0884e-02, -3.7323e-02], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0518, 0.0464, 0.0031, ..., -0.0857, 0.0179, 0.0314], [ 0.0569, 0.0220, 0.0354, ..., -0.1350, -0.0732, -0.0957], [ 0.0043, -0.0112, -0.0243, ..., 0.0294, -0.0253, -0.0077]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.0800, -0.0466, -0.0686, ..., 0.0512, -0.0601, 0.0772], [ 0.0996, -0.0679, -0.0053, ..., -0.0736, -0.1231, -0.1825], [ 0.0512, -0.0066, -0.0150, ..., 0.0318, -0.0294, 0.0137]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [ 0.2494, -0.0026, -0.0677, ..., -0.0381, 0.0745, -0.0910], [ 0.3056, -0.1493, 0.1111, ..., -0.1605, -0.1693, -0.0652], [ 0.0752, -0.0498, 0.0407, ..., 0.0182, -0.0362, 0.0728]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.2406, 0.2166, -0.0931, ..., -0.0727, 0.2990, -0.1414], [ 0.2364, -0.0223, 0.1975, ..., -0.3686, -0.0272, -0.0270], [ 0.0629, -0.0562, -0.0035, ..., 0.1251, -0.0483, 0.1731]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.3552, -0.2941, -0.2620, ..., -0.0572, 0.2972, -0.1445], [ 0.4218, -0.3178, 0.0473, ..., -0.5098, 0.0701, -0.0629], [ 0.0367, -0.2105, -0.0292, ..., -0.0429, -0.0988, 0.1594]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.3241, -0.3932, -0.3095, ..., 0.0098, 0.5435, -0.3743], [ 0.5566, -0.2693, 0.2179, ..., -0.3628, 0.3396, -0.3939], [-0.0548, 0.0085, 0.1298, ..., 0.0482, 0.0424, 0.2413]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [ 0.0280, -0.4435, -0.6161, ..., 0.2994, 0.5601, -0.4625], [ 0.4408, -0.2854, 0.0440, ..., -0.0597, 0.5932, -0.2005], [-0.1465, 0.0153, 0.1947, ..., 0.2743, 0.0191, 0.0765]]]) 8: tensor([[[ 1.7744e-01, -1.0197e+00, -5.5202e-01, ..., 2.1911e-01, -7.4777e-02, 3.1519e-01], [-2.7662e-01, -5.2568e-01, 8.5117e-01, ..., -2.2344e-03, -4.8378e-01, -1.3226e-01], [-4.5867e-02, -1.7939e-01, 4.2289e-01, ..., 3.4982e-01, -4.0342e-01, -4.6520e-01], ..., [ 8.4518e-02, -6.5072e-01, -6.7599e-01, ..., -2.8214e-04, 7.4727e-01, -3.2714e-01], [ 7.8141e-01, -4.2100e-01, -3.8100e-01, ..., -2.7671e-01, 8.8057e-01, -3.9993e-01], [-1.1617e-01, 1.5510e-02, 9.0144e-03, ..., 2.2656e-01, 1.8315e-01, 3.4409e-01]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [ 2.5890e-01, -8.1049e-01, -6.1663e-01, ..., 1.0131e-01, 8.8164e-01, -4.5695e-01], [ 5.3196e-01, -4.2753e-01, -1.7606e-01, ..., -3.5020e-02, 9.5330e-01, -6.5877e-01], [-2.6413e-01, 3.2955e-01, 3.2824e-01, ..., -2.4627e-01, 3.3329e-01, 3.1610e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [ 0.1592, -0.4621, -0.7230, ..., 0.2490, 0.7610, -0.3683], [ 0.5410, -0.1202, -0.5707, ..., -0.0120, 1.1636, -0.3637], [-0.1953, 0.6078, 0.1845, ..., -0.2997, -0.0538, 0.3917]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.2590, -0.4773, -0.8725, ..., 0.3637, 0.4276, -0.3591], [ 0.0500, -0.0265, -0.5938, ..., -0.0889, 1.1189, -0.6880], [-0.4658, 0.3202, 0.3378, ..., -0.2187, -0.2572, 0.4964]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [ 0.0604, -0.2798, -0.7109, ..., -0.1121, 0.7112, -0.5750], [ 0.1577, -0.3481, -0.4080, ..., -0.3570, 1.1442, -0.6109], [-0.3515, -0.2615, 0.2388, ..., -0.5715, -0.1345, 0.3371]]]) 13: tensor([[[ 2.5794e-01, -1.0105e+00, -5.3911e-01, ..., -3.4954e-02, -2.0185e-01, 4.5267e-01], [-6.4005e-01, -7.8039e-01, 1.3922e-03, ..., 1.2504e-01, -3.1000e-01, 1.2849e-01], [-6.0393e-02, -9.7953e-01, 4.2703e-01, ..., 1.7716e-01, -6.6826e-01, -4.8370e-01], ..., [ 8.6446e-02, -4.9753e-02, -1.1290e+00, ..., -1.6406e-01, 6.3343e-01, -2.4643e-01], [ 1.4016e-01, -4.8973e-01, -4.5123e-01, ..., -9.8427e-02, 1.5187e+00, -5.9835e-01], [-3.8934e-01, -7.7117e-01, -4.5089e-01, ..., -3.5220e-01, -2.5865e-01, 4.2437e-01]]]) 14: tensor([[[ 2.7874e-01, -1.0211e+00, -4.8583e-01, ..., -7.1688e-02, -6.5471e-02, 3.9639e-01], [-6.7533e-01, -9.6769e-01, 4.0668e-02, ..., -7.4380e-02, -4.9728e-01, -2.1529e-01], [-2.2008e-01, -9.0994e-01, 2.6183e-01, ..., 8.9492e-02, -6.6340e-01, -9.8226e-01], ..., [ 2.2504e-01, -3.1181e-01, -9.2367e-01, ..., -2.3521e-01, 8.9348e-01, -6.9141e-01], [ 6.2904e-01, -7.3386e-01, -6.3646e-01, ..., -4.0918e-01, 1.6825e+00, -6.4381e-01], [ 4.3020e-05, -7.4651e-01, -2.3647e-01, ..., -3.2632e-01, 5.7116e-02, 3.4137e-01]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.2541, -0.2750, -0.8746, ..., 0.4122, 1.1198, -0.8986], [ 0.1616, -1.0451, -0.7977, ..., -0.2793, 2.0664, -0.6985], [ 0.1219, -0.8383, -0.7712, ..., -0.1337, -0.0850, 0.1830]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [ 0.1918, -0.6460, -1.1026, ..., 0.2409, 1.1076, -0.9802], [-0.0982, -1.2364, -1.2873, ..., -0.5881, 2.1332, -0.6677], [ 0.0692, -1.5241, -0.8220, ..., -0.1707, 0.1522, 0.4245]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [ 0.2581, -0.2587, -1.5098, ..., 0.0136, 1.6918, -0.8180], [-0.9332, -1.2267, -0.8127, ..., -0.4594, 2.5932, -0.9206], [ 0.0456, -1.3589, -1.0074, ..., -0.0247, 0.3755, 0.1320]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-0.0327, -0.2021, -1.6403, ..., -0.2948, 1.8402, -0.9125], [-0.6185, -1.4845, -1.1156, ..., -1.2935, 2.4562, -1.1023], [-0.1925, -1.2109, -0.9261, ..., 0.2076, -0.2592, -0.4008]]]) 19: tensor([[[ 3.0254e-01, -1.2240e+00, -1.1377e-01, ..., 1.3727e-01, -4.4626e-01, 8.6815e-01], [ 3.9813e-01, -1.5456e+00, 3.2579e-01, ..., -1.8750e-01, -1.6000e+00, -1.1540e+00], [ 4.8154e-01, -1.4289e+00, -3.1729e-02, ..., -7.0834e-03, -1.0063e+00, -1.0037e+00], ..., [ 3.4511e-01, -6.3907e-01, -2.4454e+00, ..., -7.4804e-04, 2.2600e+00, -1.2744e+00], [-4.3585e-01, -1.6739e+00, -1.6383e+00, ..., -1.5367e+00, 2.4194e+00, -9.2420e-01], [ 8.5407e-02, -1.7445e+00, -1.8210e+00, ..., 1.7571e-01, -3.1022e-01, -3.3677e-01]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [ 1.1131, -0.2674, -2.8321, ..., -0.2195, 2.8367, -1.4908], [-0.5258, -1.2633, -1.5968, ..., -1.9458, 2.8483, -0.7515], [ 0.2062, -2.2616, -1.4141, ..., 0.0397, -0.0275, -0.0961]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [ 0.8891, -0.2478, -2.8934, ..., -0.0338, 2.9074, -1.0678], [-0.6974, -1.2693, -1.0208, ..., -1.5702, 3.2087, -0.9440], [ 0.1323, -2.6685, -1.1650, ..., 0.2071, -0.3524, -0.3737]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [ 1.7470, -0.0537, -3.0119, ..., -0.0275, 3.1880, -1.2038], [-0.7973, -0.5471, -0.9291, ..., -1.5424, 3.5445, -0.6956], [-0.3479, -2.2513, -0.3376, ..., 0.2981, -0.4552, 0.4096]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [ 1.5817, -0.1571, -3.5050, ..., -0.5408, 3.6057, -1.0365], [-0.8328, -0.1564, -1.1802, ..., -1.8647, 2.8201, -1.1686], [-0.5330, -2.0135, -0.5958, ..., 0.1357, -0.4573, -0.0860]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 1.5161, -0.6692, -3.3808, ..., -0.4753, 4.3015, -0.4989], [-0.5265, -0.4056, 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..., -0.1979, -0.0204, -0.0547]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 0.1051, -2.5783, -1.3162, ..., -2.2203, 5.5938, -0.7008], [ 0.3298, -2.6773, -2.0555, ..., -2.8349, 5.9639, 1.7339], [-2.3857, -3.8535, 0.3930, ..., -0.7935, 0.3117, -0.6238]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [-0.3390, -2.2437, -1.7588, ..., -2.6167, 5.7788, -0.7034], [-0.0386, -3.1246, -1.6888, ..., -2.9834, 6.5360, 2.5163], [-2.4268, -2.5865, 0.3698, ..., -0.4222, 1.0693, 0.1332]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-1.5630, -0.7159, -1.5077, ..., -2.1762, 5.5606, -0.7084], [ 0.5190, -2.7534, -1.9859, ..., -3.1148, 6.3014, 2.4836], [-1.7318, -1.9869, 0.9704, ..., -0.8831, 1.3717, 0.3941]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-1.2289, 0.3995, -1.8059, ..., -2.2856, 4.5948, -1.1875], [ 0.6242, -3.1415, -2.5143, ..., -2.6151, 6.9108, 2.9908], [-1.7868, -1.8382, 0.6199, ..., -1.8920, 1.9807, -0.4720]]]) 36: tensor([[[ 7.5168e-01, -8.3976e-01, 6.3699e-01, ..., -4.4778e-02, -7.8688e-01, -4.0149e-01], [ 1.8548e+00, -2.4676e+00, -7.0953e-01, ..., -1.1532e+00, -4.4559e+00, -9.9967e-01], [ 1.2417e+00, -1.9971e+00, 1.5681e-01, ..., -1.1543e+00, -2.6090e+00, 1.2917e-01], ..., [-2.7038e+00, 7.5318e-01, -1.2057e+00, ..., -2.1370e+00, 3.4907e+00, -2.0167e-03], [ 9.2078e-01, -2.4160e+00, -3.0673e+00, ..., -2.6327e+00, 8.2092e+00, 3.2183e+00], [-1.9186e+00, -1.9033e+00, 1.3054e+00, ..., -2.8160e+00, 2.7040e+00, -9.5225e-01]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [-2.9987, 0.1650, -1.8253, ..., -1.0058, 3.6995, -1.1422], [ 1.8327, -2.7978, -1.4278, ..., -4.0595, 7.6579, 3.5732], [-2.3813, -2.8849, 2.0098, ..., -2.2924, 3.0640, -1.3987]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [-3.6718, 0.0903, -1.2764, ..., -1.6568, 1.7425, -0.6367], [ 3.9897, -2.8906, -1.7595, ..., -4.1426, 8.0339, 1.8401], [-2.2911, -2.7331, 2.8687, ..., -3.6880, 4.2364, -1.9230]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [-4.0008, 0.1119, -1.7638, ..., -0.9381, 2.3339, -0.7242], [ 4.6660, -3.1123, -0.6423, ..., -3.0073, 7.7007, 3.5662], [-1.7475, -2.4602, 4.1187, ..., -3.0683, 3.0824, -3.1800]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-1.1242, 0.1363, -1.3021, ..., 0.7703, 0.9768, 0.0621], [ 1.2506, -0.2049, -0.7179, ..., -0.1495, 2.1171, 1.0299], [-0.9102, -0.5770, 0.0089, ..., -0.8650, 0.1478, -0.9033]]]) Query: - Objektorientierung / Klasse Object (Wiederholung) / Polymorphismus (Vertiefung) - Innere Klassen und Lambdas - Input/Output (Grundlagen) - Exception Handling - Grundlagen der Nebenläufigkeit (Threads) - Generics (Grundlagen) - Collection Framework - Wichtige Datenstrukturen (Hash, Baum, Tries, Graphen) - Sortieren Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-1.1124e-02, -3.8567e-03, -1.9882e-02, ..., 2.8824e-02, 9.8724e-03, 4.8399e-04], [ 4.5624e-03, 1.9089e-02, -1.4099e-02, ..., -8.1711e-03, 2.7618e-02, 1.0548e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [ 0.0732, 0.0485, 0.0653, ..., 0.0432, 0.0350, 0.0130], [-0.0307, 0.0438, -0.0632, ..., 0.0151, 0.0664, -0.0311], [ 0.0161, -0.0189, -0.0315, ..., 0.0200, -0.0306, 0.0144]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [-0.0020, -0.1035, -0.0208, ..., 0.1182, 0.0451, 0.0044], [-0.0366, -0.0052, 0.0223, ..., 0.0163, -0.0730, -0.0328], ..., [ 0.1091, 0.1661, 0.0919, ..., -0.0346, 0.1283, 0.0218], [ 0.1068, -0.0254, -0.0553, ..., -0.0178, 0.2559, -0.0233], [ 0.0576, -0.0135, -0.0221, ..., 0.0191, -0.0328, 0.0281]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [ 0.1259, 0.1863, 0.0966, ..., -0.1241, 0.1698, -0.1208], [ 0.0561, 0.0732, -0.0688, ..., 0.1623, 0.1871, -0.1743], [ 0.0446, -0.0252, 0.0175, ..., 0.0368, -0.0098, 0.0648]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [ 0.0418, 0.2575, 0.1938, ..., -0.2245, 0.0083, -0.1040], [-0.0204, -0.0409, -0.1317, ..., 0.0913, 0.0630, -0.1711], [ 0.0200, 0.0326, 0.0342, ..., 0.1544, -0.0285, 0.2029]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [ 0.2676, 0.2238, 0.1405, ..., -0.1585, 0.0723, -0.0110], [ 0.2044, -0.0642, -0.0513, ..., -0.0519, 0.0948, -0.3327], [ 0.0330, -0.0797, 0.0305, ..., 0.0616, -0.2734, 0.3169]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [ 0.2740, 0.2273, 0.0546, ..., 0.0617, 0.1789, -0.0541], [ 0.3264, -0.2038, 0.0354, ..., -0.2102, 0.3165, -0.1533], [ 0.1048, -0.0021, 0.0236, ..., 0.2160, 0.0118, 0.4239]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [-0.0475, 0.3918, -0.0848, ..., 0.3929, 0.0753, -0.2622], [ 0.3104, -0.2680, -0.1103, ..., -0.1492, 0.3801, -0.2749], [ 0.2077, 0.1219, -0.1288, ..., 0.4683, -0.0701, 0.4362]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.0824, 0.4019, -0.3113, ..., 0.2223, -0.1239, -0.3079], [ 0.0579, -0.4193, 0.0642, ..., -0.1835, 0.3386, -0.0502], [ 0.3664, 0.1458, -0.0681, ..., 0.3966, -0.0401, 0.4465]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-2.1358e-01, 4.2109e-01, 1.4458e-01, ..., -4.1807e-02, -2.7003e-01, -2.8965e-01], [-3.0632e-01, -1.6333e-01, 1.0756e-01, ..., -5.0102e-01, 1.8164e-01, -2.4610e-01], [-1.6808e-01, 3.5729e-01, -1.9740e-01, ..., 4.5758e-02, 5.2039e-02, 2.7813e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.5016, 0.5276, 0.3060, ..., -0.0342, -0.4063, -0.1651], [-0.6579, -0.2180, 0.2428, ..., -0.5411, 0.0017, -0.1993], [-0.1988, 0.6119, 0.0011, ..., -0.0212, -0.1719, 0.5409]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.6150, 0.6454, 0.1048, ..., 0.1543, -0.4232, 0.0096], [-0.7571, -0.3709, 0.2068, ..., -0.6872, 0.1126, -0.0165], [-0.2756, 0.1479, 0.1874, ..., -0.0460, -0.2853, 0.4575]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.9043, 0.7029, -0.0707, ..., 0.0192, -0.3001, -0.2176], [-1.0980, -0.1920, 0.3010, ..., -0.7290, 0.1681, -0.0330], [-0.5303, -0.1746, -0.0272, ..., -0.0065, -0.4026, 0.2335]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [-0.9794, 0.6397, 0.2401, ..., 0.2164, -0.8089, -0.1613], [-0.7243, -0.6048, 0.4554, ..., -0.4543, -0.0554, 0.3223], [-0.5913, -0.5614, -0.4180, ..., 0.0067, -0.9703, 0.7093]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [-1.0507, 0.8241, 0.1236, ..., 0.5004, -0.7215, -0.4933], [-0.7812, -0.6984, 0.2745, ..., -0.4809, 0.0322, -0.1105], [-0.5272, -0.3591, -0.2951, ..., 0.0804, -0.6102, 0.8131]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [-1.1496, 0.4257, 0.0253, ..., 0.9817, -0.9141, -1.0957], [-1.1422, -1.2707, 0.5094, ..., -0.3575, -0.1564, -0.5091], [-0.4328, -0.8317, -0.2686, ..., 0.3189, -0.5433, 0.3253]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-1.0691, 0.1546, 0.0364, ..., 0.8520, -0.7987, -1.2576], [-1.1905, -1.4252, 0.5335, ..., -0.7083, 0.2909, -1.0509], [-0.5749, -1.7731, -0.3212, ..., 0.1966, -0.6330, 0.1943]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-1.9403, 0.1400, -0.0853, ..., 0.2410, -0.8420, -0.9197], [-1.6487, -1.5584, 0.9137, ..., -1.0453, 0.2916, -0.9138], [-0.8455, -2.0883, -0.3197, ..., -0.0803, -0.0311, 0.0692]]]) 18: tensor([[[ 3.0301e-01, -9.9364e-01, -3.2816e-01, ..., -3.2686e-02, -3.8228e-01, 7.3221e-01], [-1.0528e-01, -1.5004e+00, 2.5818e-01, ..., -1.2973e-02, -1.5225e+00, -1.0915e+00], [ 3.8707e-01, -1.3789e+00, -7.3249e-02, ..., 1.1954e-01, -8.0118e-01, -9.2410e-01], ..., [-2.0543e+00, 1.2894e-01, 7.6079e-02, ..., 3.0637e-02, -7.5511e-01, -1.2116e+00], [-2.0635e+00, -2.1441e+00, 7.5517e-01, ..., -1.1357e+00, 1.3999e-03, -1.5936e+00], [-8.4305e-01, -2.2415e+00, -3.1812e-01, ..., -1.8082e-02, -9.1467e-01, -3.3262e-01]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-2.1199, 0.2473, -0.0109, ..., 0.0321, -0.8877, -1.3564], [-2.0168, -1.9778, 0.7610, ..., -1.4703, 0.3061, -2.0790], [-0.7303, -2.6668, -1.2506, ..., -0.0336, -0.9943, -0.2626]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-2.2655, 0.3622, 0.1321, ..., -0.8097, -0.4130, -0.9599], [-2.2290, -2.0926, 0.6436, ..., -2.2932, 1.0268, -2.1751], [-0.4251, -2.5467, -1.1228, ..., -0.3014, -1.0179, -0.0983]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-2.5674, 0.9983, 0.3120, ..., -0.1532, -0.2720, -0.6254], [-1.6568, -1.6883, 0.5432, ..., -2.1147, 0.6790, -2.0657], [-0.7209, -3.0272, -0.8493, ..., 0.0682, -0.7501, 0.3293]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-2.3482, 1.5388, 0.2913, ..., -0.6633, -0.5806, -0.9555], [-1.2798, -1.1474, 0.4292, ..., -2.6196, 0.5422, -2.0510], [-1.2325, -3.5856, 0.0960, ..., 0.3915, -0.7882, 0.7637]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-1.7668, 0.9082, 0.2716, ..., -1.3003, -0.5688, -1.2775], [-0.7629, -1.8067, 1.1208, ..., -3.2678, 0.6296, -2.4400], [-1.4137, -3.7866, -0.2553, ..., 0.2326, -0.5432, 0.0102]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [-1.8192, 0.7535, 0.0868, ..., -1.4588, -0.3672, -0.4700], [-0.1073, -2.3360, 1.2835, ..., -3.6359, 0.9188, -2.0875], [-1.7606, -4.3886, 0.4549, ..., 0.2816, -0.5814, 0.0374]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [-1.3107, 0.9698, -0.1997, ..., -1.8008, 0.2430, -0.4968], [ 0.3494, -2.4886, 1.1520, ..., -4.4449, 1.4402, -2.2029], [-1.4361, -4.4351, -0.0831, ..., 0.1185, -0.9469, 0.0299]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [-2.2510, 0.4452, -0.1154, ..., -2.5404, -0.1453, -0.0305], [ 0.2013, -3.5592, 1.3700, ..., -4.3174, 2.0388, -1.9853], [-1.9346, -4.6831, -0.3329, ..., 0.0449, -1.1165, 0.4372]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [-2.3325, 0.7186, -0.1483, ..., -3.5479, 0.1557, -0.4809], [-0.1673, -3.5220, 1.6996, ..., -4.6231, 2.8415, -2.0087], [-2.7885, -5.6649, -0.1554, ..., 0.7761, -0.5413, 0.8194]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [-2.9213, 0.8622, 0.0366, ..., -2.5718, 0.3982, 0.0598], [ 0.7308, -4.1832, 0.9611, ..., -4.0884, 2.6815, -1.7256], [-2.6173, -6.2009, 0.0124, ..., 1.0309, -0.4783, 0.7504]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [-3.7560, 0.8966, 1.0644, ..., -1.9264, -0.0341, -0.7098], [ 0.5135, -4.7927, 0.8974, ..., -4.7578, 2.6969, -1.9701], [-2.6377, -6.9491, 0.1547, ..., 1.0725, -0.8192, 0.8020]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [-2.7189e+00, 1.5297e+00, 5.3596e-01, ..., -2.7136e+00, 5.5576e-02, -1.2131e-01], [ 1.8410e+00, -4.2821e+00, -4.1814e-02, ..., -5.0310e+00, 2.4137e+00, -2.2572e+00], [-2.5163e+00, -6.7883e+00, 5.6816e-02, ..., 8.0273e-01, -4.7684e-01, 2.9997e-01]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [-2.7901, 1.5955, 0.9031, ..., -3.0075, 0.9236, 0.7117], [ 2.3085, -4.3298, 0.6922, ..., -6.0489, 4.5468, -0.6909], [-3.0517, -6.9670, 0.9329, ..., 0.4200, -0.1750, 0.6934]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [-3.0932, 1.8472, 1.3436, ..., -2.5856, 2.0289, 0.3730], [ 2.8364, -4.5040, 1.2955, ..., -6.4404, 5.1860, -0.5055], [-3.7866, -7.4020, 1.0394, ..., -0.4494, 0.4871, -0.0180]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 0.6746, -2.3491, -0.5023, ..., -1.1778, -4.0825, 0.6369], [ 0.3326, -2.5822, -0.0435, ..., -0.7961, -1.9972, 0.2151], ..., [-3.1297, 1.5529, 1.2689, ..., -2.4881, 2.5778, 1.3647], [ 2.3723, -3.8893, 1.2189, ..., -6.6839, 6.7913, -0.2089], [-3.6101, -6.4454, 0.8870, ..., -0.4090, 1.0753, 0.1406]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 0.8671, -2.4411, -0.2519, ..., -1.0163, -3.7759, 0.2840], [ 0.7680, -2.6552, 0.3849, ..., -0.8292, -1.9769, 0.5669], ..., [-3.7051, 1.4548, 1.6410, ..., -2.5674, 2.9454, 1.5355], [ 2.8076, -3.7236, 2.2608, ..., -6.4842, 7.4982, -0.3948], [-3.2063, -5.7788, 1.3985, ..., -0.6868, 1.4435, 0.1758]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.4832, -2.1899, -0.7593, ..., -0.9099, -4.0092, -0.0704], [ 1.1589, -2.4299, -0.0361, ..., -0.9148, -2.3421, 0.3966], ..., [-3.8838, 1.4908, 3.5305, ..., -2.2892, 2.3163, 1.9528], [ 2.7771, -2.7134, 2.6322, ..., -6.1782, 7.0145, -0.4395], [-3.3140, -5.5467, 1.0786, ..., -1.2398, 1.8297, -0.7322]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [-3.3244, 0.9927, 2.1697, ..., -1.1160, 2.7001, 2.5566], [ 3.0938, -3.5481, 1.5167, ..., -5.0715, 7.2830, -0.2809], [-3.8090, -5.9747, 1.6805, ..., -0.7902, 1.0881, -1.2745]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [-3.3346, 1.2740, 2.4560, ..., -3.8123, 2.7460, 1.8981], [ 3.9292, -3.8988, 2.3850, ..., -5.9698, 7.0159, 0.3647], [-4.4105, -6.6289, 2.0748, ..., -0.5029, 1.2148, -1.7233]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [-4.0657, 2.0587, 2.2792, ..., -4.5263, 2.2500, 0.9159], [ 4.4627, -3.1364, 2.0669, ..., -5.9639, 6.7735, -0.2473], [-4.0757, -6.7517, 2.9971, ..., -1.4928, 1.8700, -2.1118]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [-4.4317, 2.1029, 3.5822, ..., -4.2842, 1.3274, 1.0417], [ 5.8361, -3.0692, 2.4456, ..., -5.5931, 4.8369, -0.0702], [-3.6127, -6.9234, 3.7957, ..., -0.0864, 0.4049, -3.5022]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-1.3268, 0.3561, -0.3508, ..., -1.4519, 0.2370, 0.4414], [ 0.8233, -0.5830, -0.7366, ..., -1.2362, 0.7739, -0.3459], [-1.2161, -1.2070, -0.1309, ..., -0.4295, -0.6221, -0.8686]]]) Query: - Multi-Paradigmen-Sprachen (z. B. Scala) - Funkionale Sprachen (z. B. Elixir, Lisp, Clojure) - Sprachen mit explizitem Speichermanagement (C) - Systemnahe Sprachen (z. B. Go) - Skriptsprachen (Python, Ruby) - Domainspezifische Sprachen - Weiterführende Konzepte von Java (z. B. Streams, Reflection) Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.5008e-03, 1.5114e-02, -2.7969e-02, ..., 1.7380e-02, -1.1311e-03, 9.9945e-03], [-6.8779e-03, 4.1914e-04, 1.5930e-02, ..., -7.7248e-04, 3.9864e-03, -2.9182e-03], ..., [-3.5645e-02, 2.0111e-02, 2.6886e-02, ..., -1.4977e-02, -1.8372e-02, 3.5706e-03], [-1.3863e-02, 2.3422e-03, 2.1393e-02, ..., -3.9444e-03, 1.2177e-02, 7.6714e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.1016, -0.0195, -0.0424, ..., 0.0752, -0.0704, -0.0427], [-0.0588, 0.0121, 0.0111, ..., 0.0136, -0.0375, -0.0212], ..., [-0.0539, 0.0234, 0.0295, ..., 0.0394, -0.0169, 0.0320], [-0.0528, -0.0202, 0.0342, ..., -0.0181, 0.0266, 0.0528], [-0.0008, -0.0312, -0.0167, ..., 0.0321, -0.0076, -0.0084]]]) 2: tensor([[[ 1.0109e-01, -1.8457e-01, 1.5029e-01, ..., -1.7510e-01, -1.9697e-01, -7.8638e-02], [-2.0358e-03, -1.0349e-01, -2.0788e-02, ..., 1.1819e-01, 4.5131e-02, 4.3589e-03], [-3.6629e-02, -5.1585e-03, 2.2301e-02, ..., 1.6284e-02, -7.3033e-02, -3.2806e-02], ..., [-1.3411e-01, -1.0021e-01, 1.0940e-01, ..., 1.7196e-02, 1.2877e-01, 1.0235e-01], [-7.0185e-02, 1.9103e-03, 2.3719e-02, ..., 3.3185e-05, 4.3885e-02, 8.4421e-02], [ 4.0001e-02, -1.5107e-02, -3.4696e-02, ..., 1.7531e-02, 2.1363e-03, 1.5773e-02]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [ 0.0063, -0.1105, 0.1225, ..., 0.1197, -0.1124, -0.1199], [ 0.0570, -0.0177, 0.2330, ..., 0.1012, -0.1598, -0.1215], ..., [-0.0947, -0.3167, -0.0160, ..., 0.0364, 0.1614, 0.1278], [-0.0837, -0.0379, 0.0903, ..., -0.0051, 0.0063, 0.0519], [ 0.0990, -0.0416, -0.0142, ..., -0.0202, -0.0278, 0.0754]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.0628, -0.1661, 0.3024, ..., 0.2507, -0.1214, -0.0883], [ 0.0489, -0.1734, 0.2030, ..., -0.0738, -0.2820, -0.1909], ..., [-0.0236, -0.1735, -0.0229, ..., 0.0350, 0.0865, 0.1435], [-0.1242, 0.0061, 0.0485, ..., -0.0154, 0.0669, 0.2496], [ 0.0378, -0.0600, -0.0195, ..., -0.0049, -0.0730, 0.1328]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0691, -0.2446, 0.4844, ..., 0.1594, -0.1271, 0.0336], [ 0.1375, -0.0402, 0.2607, ..., 0.0044, -0.4515, -0.2382], ..., [-0.3243, -0.2916, -0.0524, ..., -0.2105, 0.2149, 0.0299], [-0.1683, -0.1164, -0.0465, ..., -0.1263, 0.0761, 0.2675], [ 0.1324, -0.0823, -0.1249, ..., -0.1685, -0.0479, 0.2707]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.1171, -0.3239, 0.6757, ..., 0.1786, -0.3587, -0.2343], [-0.0033, -0.2674, 0.3796, ..., -0.0058, -0.3464, -0.3838], ..., [-0.2527, -0.3954, 0.1298, ..., -0.2043, 0.1756, 0.0211], [-0.1384, -0.0366, -0.1062, ..., 0.0781, 0.2537, 0.2132], [ 0.2093, -0.0538, -0.1852, ..., -0.0557, 0.0657, 0.3098]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.1272, -0.4814, 0.7044, ..., 0.2241, -0.2760, -0.1436], [-0.0632, -0.1760, 0.3805, ..., 0.1593, -0.3386, -0.4046], ..., [-0.3154, -0.4015, -0.1204, ..., 0.0719, 0.2649, 0.0254], [-0.1957, -0.1046, -0.2513, ..., 0.0026, 0.1645, 0.1519], [ 0.2308, 0.0680, 0.0734, ..., 0.0991, -0.0395, 0.3916]]]) 8: tensor([[[ 0.1774, -1.0197, -0.5520, ..., 0.2191, -0.0748, 0.3152], [-0.2766, -0.5257, 0.8512, ..., -0.0022, -0.4838, -0.1323], [-0.0459, -0.1794, 0.4229, ..., 0.3498, -0.4034, -0.4652], ..., [-0.3510, -0.6134, -0.5410, ..., -0.1473, 0.2644, -0.0302], [-0.0297, 0.0594, -0.5008, ..., 0.1593, 0.5762, 0.3170], [ 0.3642, 0.1426, 0.1997, ..., 0.0183, 0.0300, 0.3661]]]) 9: tensor([[[ 1.6661e-01, -1.0333e+00, -5.1397e-01, ..., 1.6799e-01, -7.8662e-02, 3.0796e-01], [-1.2754e-01, -7.2784e-01, 6.2181e-01, ..., -5.9251e-04, -4.6773e-01, -2.0511e-01], [-1.5388e-01, -3.8383e-01, 4.7796e-01, ..., 5.4677e-01, -5.7957e-01, -3.6326e-01], ..., [-6.1954e-01, -8.2205e-01, -1.0694e-01, ..., -4.9307e-02, 4.9293e-01, -1.2749e-01], [ 2.9473e-02, -1.7091e-01, -6.9691e-01, ..., 1.7047e-01, 4.5328e-01, 3.2073e-01], [ 9.9441e-02, -2.0620e-01, 1.3627e-01, ..., -3.6502e-02, 7.0369e-02, 3.0731e-01]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.1813, -0.8617, 0.3325, ..., -0.0257, -0.4533, -0.0284], [-0.1423, -0.4132, 0.1746, ..., 0.3776, -0.6512, -0.4133], ..., [-0.5304, -0.7451, -0.2996, ..., 0.2621, 0.8080, 0.1828], [ 0.3044, -0.0965, -0.5014, ..., 0.2248, 0.3569, 0.5113], [ 0.3739, -0.1410, 0.1618, ..., 0.1337, -0.4260, 0.6774]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.2011, -0.5420, 0.2242, ..., -0.2060, -0.5998, 0.2015], [-0.0183, -0.6304, 0.1346, ..., 0.1680, -0.5393, -0.5965], ..., [-0.6914, -0.7781, -0.3703, ..., 0.2450, 0.6368, 0.4753], [ 0.0469, -0.3325, -0.4048, ..., 0.1848, 0.4074, 0.0676], [ 0.3009, 0.0576, 0.2410, ..., 0.0183, -0.3179, 0.4796]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4338, -0.7381, 0.0850, ..., -0.2924, -0.6647, 0.2480], [-0.2238, -0.8725, 0.1604, ..., 0.4101, -0.5698, -0.4751], ..., [-0.5236, -0.6663, -0.3884, ..., 0.0510, 0.7707, 0.0921], [-0.1268, -0.6651, -0.2912, ..., 0.1746, 0.5009, 0.0093], [ 0.3744, -0.2420, 0.3777, ..., 0.2412, -0.6119, 0.6446]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.6401, -0.7804, 0.0014, ..., 0.1250, -0.3100, 0.1285], [-0.0604, -0.9795, 0.4270, ..., 0.1772, -0.6683, -0.4837], ..., [-0.4872, -1.3295, -0.5634, ..., -0.0832, 0.5366, -0.0439], [-0.0723, -1.2682, -0.1949, ..., -0.0694, 0.2930, -0.2298], [ 0.4477, -0.6328, 0.8018, ..., -0.1903, -0.6140, 0.4385]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.6753, -0.9677, 0.0407, ..., -0.0744, -0.4973, -0.2153], [-0.2201, -0.9099, 0.2618, ..., 0.0895, -0.6634, -0.9823], ..., [-0.3455, -1.6721, -0.7884, ..., -0.0074, 0.5365, -0.3962], [ 0.1754, -1.3895, -0.4942, ..., 0.3237, 0.5796, -0.2491], [ 0.5138, -0.7278, 0.4903, ..., 0.3424, -0.0643, 0.1950]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.2879, -1.1037, 0.4039, ..., -0.3520, -0.6702, -0.3490], [ 0.0341, -1.1546, 0.3763, ..., -0.3480, -0.8019, -0.7203], ..., [ 0.1253, -2.2292, -0.6191, ..., 0.0294, 0.4822, 0.0091], [-0.1303, -2.0136, -0.9084, ..., 0.0834, 0.5244, -0.6291], [ 0.7944, -1.0781, 0.4019, ..., 0.4579, -0.2834, -0.0792]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1683, -1.4639, 0.4694, ..., -0.1146, -0.9781, -0.5914], [ 0.1871, -1.3984, 0.1202, ..., -0.1305, -0.6274, -0.8889], ..., [-0.0431, -2.3917, -0.8897, ..., -0.2099, 0.2707, 0.0097], [-0.5948, -2.0945, -1.1036, ..., -0.2498, 1.3056, -0.8612], [ 0.3350, -1.5825, 0.5664, ..., 0.4147, -0.3405, 0.3060]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [-0.2339, -1.5909, 0.4839, ..., 0.0959, -1.0865, -0.6412], [ 0.1523, -1.3746, -0.0511, ..., -0.2632, -0.5859, -0.7240], ..., [-0.2037, -2.8338, -0.8785, ..., -0.4605, 0.4529, -0.6646], [-0.8585, -1.9856, -0.8861, ..., -0.1733, 1.5673, -0.9577], [ 0.0331, -1.5869, 0.7179, ..., 0.3368, -0.3945, -0.2120]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.1053, -1.5004, 0.2582, ..., -0.0130, -1.5225, -1.0915], [ 0.3871, -1.3789, -0.0732, ..., 0.1195, -0.8012, -0.9241], ..., [-0.0273, -3.2636, -0.5803, ..., -0.6159, 1.0559, -0.3571], [-1.1191, -1.5758, -1.1142, ..., -0.6330, 1.6852, -0.9040], [-0.1658, -1.7758, 0.7311, ..., 0.5443, -0.7128, -0.7131]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.3981, -1.5456, 0.3258, ..., -0.1875, -1.6000, -1.1540], [ 0.4815, -1.4289, -0.0317, ..., -0.0071, -1.0063, -1.0037], ..., [-0.1858, -3.2036, -0.3020, ..., -0.7381, 0.8142, -0.0592], [-0.6552, -1.7991, -1.2379, ..., -0.6037, 1.7195, -1.0222], [-0.4468, -1.9656, -0.0798, ..., 0.7376, -0.4492, -0.4580]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.3482, -1.9316, -0.2961, ..., 0.0607, -1.7172, -0.8600], [ 0.4599, -1.7459, -0.2516, ..., -0.1474, -1.0419, -0.7416], ..., [-0.0152, -2.8972, -0.6575, ..., -0.8394, 0.9522, 0.2103], [-0.6037, -1.5413, -1.1923, ..., -0.9717, 2.0179, -1.2037], [-0.3421, -1.9794, -0.0432, ..., 0.3009, -0.3575, -0.9304]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.0725, -1.7982, -0.3599, ..., -0.1201, -1.6566, -1.1994], [ 0.3863, -1.8144, 0.2474, ..., 0.0598, -1.3684, -0.8320], ..., [-0.2873, -3.2431, 0.0831, ..., -1.2779, 1.0230, 0.1789], [-0.9273, -2.0858, -1.1842, ..., -0.5312, 1.9728, -2.3196], [-0.6366, -2.3172, -0.1418, ..., 0.3279, -0.2137, -1.0933]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4792, -2.1132, 0.1638, ..., -0.0667, -2.0503, -0.8644], [ 0.2983, -2.1457, 0.5011, ..., -0.4051, -1.3177, -0.6711], ..., [-0.0951, -3.4490, 0.4998, ..., -1.0086, 0.8790, 0.9074], [-0.4868, -2.2328, -1.3890, ..., -0.4154, 2.6770, -2.7577], [-0.7323, -2.1685, 0.4691, ..., 0.4630, 0.1860, -0.6039]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 0.9800, -2.0098, 0.3139, ..., -0.1216, -2.4571, -0.1834], [ 0.1384, -2.1878, 0.6559, ..., -0.4342, -1.4843, -0.3502], ..., [-0.0201, -3.1930, 0.4509, ..., -1.0096, 0.4977, 0.4959], [-0.2527, -1.9252, -1.0457, ..., -1.0217, 1.9580, -3.1107], [-0.7890, -2.0732, 0.1507, ..., 0.3577, -0.2027, -0.9019]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 0.5153, -1.9330, 0.0819, ..., -0.2930, -2.4385, 0.1704], [ 0.1086, -1.9690, 0.3744, ..., -0.5352, -1.3599, -0.1157], ..., [ 0.4701, -3.4181, 0.4631, ..., -1.1457, 0.7535, 0.4050], [ 0.1529, -1.9390, -1.3417, ..., -2.2069, 2.5661, -2.8847], [-1.1470, -2.1940, 0.6502, ..., 0.5326, -0.2508, -1.0929]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 0.4099, -2.1553, -0.0299, ..., -0.4242, -2.9810, 0.1285], [ 0.1489, -1.9066, 0.3926, ..., -1.2392, -1.9434, -0.0387], ..., [ 0.2529, -3.2934, 0.9643, ..., -1.5376, 0.7747, 1.0993], [ 0.2169, -1.7529, -1.3308, ..., -3.1331, 2.2819, -2.5883], [-0.9537, -2.1369, 0.0446, ..., 0.5567, -0.2526, -1.5599]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 0.3349, -2.0610, -0.2346, ..., -0.4175, -3.3164, 0.6413], [ 0.3103, -2.0197, 0.5268, ..., -1.1227, -2.0411, -0.1146], ..., [-0.1359, -3.7252, 0.7062, ..., -1.5251, 1.1272, 1.2757], [-0.4067, -2.4763, -1.7672, ..., -2.9216, 1.8348, -2.6111], [-1.2905, -2.3902, -0.4882, ..., 0.7179, -1.0709, -1.3335]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 0.2726, -1.9265, -0.1144, ..., -0.5303, -3.5600, 0.5535], [ 0.5457, -2.0804, 0.5186, ..., -1.0915, -1.9407, 0.1254], ..., [-0.2289, -3.5976, -0.0143, ..., -1.7880, 1.9825, 1.0669], [-0.8154, -3.4682, -1.9718, ..., -3.8790, 2.6061, -2.9877], [-1.2706, -2.7081, -0.8320, ..., 0.7034, 0.1137, -1.2584]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 0.4596, -2.2676, 0.0314, ..., -0.7782, -3.3262, 0.7418], [ 0.3451, -2.3089, 0.6245, ..., -0.9180, -1.8190, 0.1070], ..., [ 0.4406, -4.1038, -0.4442, ..., -1.2254, 2.6398, 1.7704], [-0.9939, -4.2448, -2.2010, ..., -3.3776, 2.6930, -2.1343], [-0.8158, -3.9004, -0.6295, ..., 0.7476, 0.2184, -1.4262]]]) 29: tensor([[[ 0.5881, -0.8365, 0.1993, ..., 0.2294, -0.7033, 0.1812], [ 0.8169, -2.5907, 0.3456, ..., -0.9426, -3.3235, 0.5329], [ 0.5339, -2.1013, 0.5908, ..., -1.0304, -1.7530, 0.1138], ..., [-0.1019, -4.3488, 0.1117, ..., -1.2459, 3.5803, 2.2727], [-0.9499, -5.1265, -2.4974, ..., -3.9856, 2.9603, -2.5369], [-0.8743, -4.1472, -0.5381, ..., 0.5867, -0.5625, -1.9827]]]) 30: tensor([[[ 6.6669e-01, -9.4694e-01, 2.0135e-01, ..., 1.9567e-01, -7.3406e-01, 1.7867e-01], [ 8.2389e-01, -2.3207e+00, 6.9412e-02, ..., -7.6211e-01, -3.7438e+00, 4.4429e-01], [ 5.5186e-01, -1.9823e+00, 4.1869e-01, ..., -8.9906e-01, -1.8399e+00, 4.5765e-03], ..., [ 2.0584e-01, -4.5546e+00, -6.9676e-01, ..., -1.9909e+00, 3.8883e+00, 2.5209e+00], [-1.1271e+00, -4.6742e+00, -3.1584e+00, ..., -4.2306e+00, 3.0605e+00, -2.2518e+00], [-1.0461e+00, -3.3180e+00, -1.0808e+00, ..., 7.8193e-01, -2.4496e-01, -2.6057e+00]]]) 31: tensor([[[ 0.6655, -0.9598, 0.2447, ..., 0.1706, -0.7776, 0.1788], [ 0.6942, -2.3152, 0.0467, ..., -1.0002, -4.1053, 0.4592], [ 0.4674, -1.8792, 0.4066, ..., -1.1411, -1.8999, 0.0861], ..., [ 0.8750, -4.4363, -0.3277, ..., -1.4241, 5.2478, 2.7713], [-0.6926, -4.9406, -2.3108, ..., -4.4085, 3.2784, -1.6950], [-1.0095, -3.4042, -0.0779, ..., 0.5789, 0.0751, -2.3644]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 0.6757, -2.3709, -0.2111, ..., -1.0661, -3.9552, 0.4456], [ 0.4939, -2.4154, 0.0644, ..., -1.1614, -1.8203, 0.1791], ..., [ 0.2015, -4.3755, 0.1170, ..., -2.0794, 5.4609, 3.0210], [-1.8795, -5.4315, -1.7227, ..., -5.1575, 2.5113, -1.4088], [-1.6921, -3.6897, -0.5883, ..., -0.3961, 0.3489, -2.5409]]]) 33: tensor([[[ 0.7091, 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-5.0722, -1.9095, ..., -6.6185, 3.5042, -3.0412], [-2.0122, -2.2541, -0.3606, ..., -1.5738, 0.3413, -3.6322]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.8548, -2.4676, -0.7095, ..., -1.1532, -4.4559, -0.9997], [ 1.2417, -1.9971, 0.1568, ..., -1.1543, -2.6090, 0.1292], ..., [ 0.3764, -1.8051, -0.8152, ..., -1.1338, 7.3077, 3.7423], [-1.8738, -4.8122, -2.4463, ..., -5.7986, 3.1637, -3.7664], [-2.0087, -2.8178, -0.5204, ..., -1.8521, 0.1442, -3.7121]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 2.0762, -2.1682, -0.7587, ..., -1.2677, -4.5423, -1.7139], [ 1.0674, -1.5709, 0.4484, ..., -2.0207, -2.4859, 0.1802], ..., [ 0.7984, -1.9202, 0.7650, ..., -2.0578, 7.7014, 3.4816], [-1.8080, -4.0813, -1.6408, ..., -6.8297, 2.7837, -3.7211], [-0.8846, -2.9298, 0.0161, ..., -2.5093, 0.6323, -4.4986]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 2.5775, -2.4292, -0.5681, ..., -2.6297, -4.4835, -1.6905], [ 0.5371, -1.7457, 0.3418, ..., -1.6540, -2.1705, -0.7345], ..., [ 0.3122, -2.9452, 0.8901, ..., -1.1621, 8.5645, 3.5919], [-1.6070, -4.2488, -2.2917, ..., -7.5683, 2.7732, -5.0615], [-0.3086, -2.7536, 0.7734, ..., -2.8910, 1.2621, -5.2107]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 4.3342, -2.8413, -0.6374, ..., -3.1586, -6.8024, -5.8151], [ 0.7265, -1.4031, -0.5680, ..., -0.7173, -3.7234, -1.2236], ..., [ 1.1331, -3.0771, 0.1793, ..., -1.3880, 8.0830, 4.6112], [-2.7996, -2.1711, -2.0725, ..., -4.9328, 1.2921, -3.8826], [ 0.2059, -3.0671, 1.6519, ..., -2.0713, 0.3987, -6.3499]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [ 0.0981, -0.3628, 0.1940, ..., -1.1206, -2.0881, -1.0290], [-0.2762, 0.5192, -1.0364, ..., -0.4324, -0.5417, 0.2538], ..., [-0.1288, -1.0602, -1.3198, ..., -1.0588, 1.6997, 1.1291], [-0.5495, 0.2133, 0.1028, ..., -0.2340, 0.9676, -0.4580], [-0.5149, -0.7478, -0.2584, ..., -0.6840, -0.2678, -1.3049]]]) Query: Die Studierenden sind in der Lage, - Arbeitsbedingungen und Arbeitsmethoden eines/r Informatikers/in in der Praxis zu beschreiben, - ihr Wissen durch Mitarbeit in einem aktuellen Projekt aus dem Informatiksektor unter Anleitung eines/r erfah- renen Praktikers/in (Informatiker/in, Ingenieur/in, Naturwissenschaftler/in oder Mathematiker/in) anzuwenden, - Schlüsselqualifikationen wie Teamfähigkeit, Kommunikationsfähigkeit, Kritikfähigkeit etc. einzusetzen und weiterzuentwickeln, - einen technischen Bericht zu erstellen. Modulhandbuch – Fakultät für Informatik 33 Embeddings: 0: tensor([[[ 2.2650e-06, 3.6716e-05, 6.0701e-04, ..., 4.8399e-04, -9.8169e-05, 3.8338e-04], [-5.4016e-03, -7.2823e-03, -5.4016e-03, ..., -1.5320e-02, -1.1337e-02, -5.9319e-03], [ 4.2328e-02, 1.2329e-02, 1.8263e-03, ..., 1.1559e-02, -3.9177e-03, -2.0721e-02], ..., [-1.5686e-02, -1.0674e-02, 1.9226e-02, ..., 8.0185e-03, 1.4572e-02, -3.9597e-03], [-1.5686e-02, -1.0674e-02, 1.9226e-02, ..., 8.0185e-03, 1.4572e-02, -3.9597e-03], [-9.4843e-04, -3.2687e-04, 8.7738e-03, ..., -1.9464e-03, -1.6296e-04, -9.8586e-05]]]) 1: tensor([[[ 0.0379, -0.0566, -0.0294, ..., -0.0225, -0.0262, 0.0090], [-0.0314, -0.0132, -0.0158, ..., -0.0881, -0.1152, -0.0271], [ 0.1400, 0.0837, -0.0302, ..., -0.0135, -0.0058, 0.0428], ..., [-0.0147, -0.0288, 0.0833, ..., -0.0080, 0.0288, 0.0089], [-0.0197, -0.0247, 0.0844, ..., -0.0027, 0.0277, 0.0167], [ 0.0292, -0.0177, -0.0319, ..., 0.0200, -0.0066, 0.0283]]]) 2: tensor([[[ 0.1011, -0.1846, 0.1503, ..., -0.1751, -0.1970, -0.0786], [ 0.0348, -0.1445, 0.0878, ..., -0.1148, -0.0753, -0.0537], [ 0.0884, 0.0330, 0.0115, ..., 0.0838, 0.0525, -0.0172], ..., [ 0.0275, -0.0248, 0.0845, ..., -0.0921, 0.0878, -0.0078], [-0.0227, 0.0247, 0.1047, ..., -0.0486, 0.0613, 0.0516], [ 0.1059, -0.0031, -0.0296, ..., 0.0111, -0.0028, 0.0474]]]) 3: tensor([[[-0.1980, -0.3394, -0.0421, ..., 0.2420, -0.0018, 0.2364], [-0.0298, -0.1772, 0.2839, ..., 0.0364, -0.0223, -0.1837], [ 0.0425, -0.0423, 0.0465, ..., -0.0349, 0.0801, -0.0365], ..., [ 0.0035, 0.0111, 0.1207, ..., -0.0957, 0.1497, 0.0117], [-0.1221, 0.1057, 0.0677, ..., -0.0267, -0.0445, 0.1560], [ 0.0686, -0.0454, -0.0404, ..., 0.1027, -0.0392, 0.0802]]]) 4: tensor([[[-0.2354, -0.3767, -0.0703, ..., 0.2630, 0.0199, 0.2768], [-0.1007, 0.0613, 0.3586, ..., -0.1072, -0.0153, 0.0184], [-0.0621, -0.0707, 0.0541, ..., -0.0362, 0.0403, 0.0984], ..., [-0.0285, 0.0699, 0.1871, ..., -0.0679, 0.1346, -0.0410], [-0.2683, 0.0807, 0.0047, ..., -0.0068, 0.0140, 0.1506], [ 0.2496, 0.1448, -0.1455, ..., 0.2650, -0.1851, 0.2517]]]) 5: tensor([[[-0.2671, -0.4367, -0.1028, ..., 0.2781, 0.0093, 0.2576], [-0.0952, -0.0168, 0.3893, ..., 0.0472, 0.2085, 0.0845], [-0.0422, -0.1415, 0.0157, ..., 0.2136, 0.1239, 0.2048], ..., [ 0.0400, 0.1316, 0.1435, ..., -0.0643, 0.1800, -0.0635], [-0.3430, 0.1285, -0.1493, ..., 0.0919, 0.0423, 0.1444], [ 0.1828, 0.1733, -0.2502, ..., 0.0082, -0.1464, 0.3734]]]) 6: tensor([[[-0.2400, -0.4693, -0.2129, ..., 0.3717, 0.0576, 0.2895], [-0.3425, -0.0278, 0.2310, ..., -0.0375, 0.1245, -0.0776], [-0.2438, -0.0786, 0.1758, ..., 0.2076, 0.1843, 0.2911], ..., [ 0.0409, 0.0168, 0.2549, ..., -0.0011, 0.3506, -0.0396], [-0.3873, -0.0357, 0.0195, ..., 0.2581, 0.1325, 0.1997], [ 0.1693, -0.0320, -0.1131, ..., 0.2805, 0.0010, 0.4603]]]) 7: tensor([[[ 0.2541, -1.0928, -0.5348, ..., 0.2601, -0.0617, 0.3316], [-0.0962, -0.1794, 0.3917, ..., -0.0952, 0.0395, -0.2583], [-0.3357, 0.0569, 0.1794, ..., -0.0757, 0.5264, 0.2868], ..., [ 0.0409, 0.1033, 0.2939, ..., 0.1725, 0.3389, -0.0473], [-0.3626, 0.1261, 0.1418, ..., 0.3139, 0.0833, 0.1431], [ 0.4338, -0.0537, -0.2526, ..., 0.3989, 0.0015, 0.6476]]]) 8: tensor([[[ 1.7744e-01, -1.0197e+00, -5.5202e-01, ..., 2.1911e-01, -7.4777e-02, 3.1519e-01], [-3.8891e-01, 1.3641e-01, 6.5007e-01, ..., -2.8096e-02, 2.7238e-01, -3.4286e-01], [-5.0465e-01, 1.8587e-01, 1.9720e-01, ..., -6.2342e-02, 6.8599e-01, 3.7242e-01], ..., [ 1.6593e-01, -4.9121e-02, 3.6656e-01, ..., 2.3967e-01, 3.2936e-01, 9.3616e-04], [-3.4390e-01, -5.9974e-02, 3.2621e-01, ..., 3.4376e-01, 1.5126e-01, 1.7898e-01], [ 4.3766e-01, -2.3109e-01, -1.7570e-01, ..., 1.1331e-01, -1.1216e-02, 5.9626e-01]]]) 9: tensor([[[ 0.1666, -1.0333, -0.5140, ..., 0.1680, -0.0787, 0.3080], [-0.3814, 0.0549, 0.7141, ..., 0.0967, 0.2219, -0.5054], [-0.8664, 0.1969, 0.3250, ..., -0.0557, 0.6567, 0.3088], ..., [-0.0654, -0.1186, 0.3245, ..., 0.2764, 0.1919, -0.0995], [-0.2976, -0.1541, 0.2426, ..., 0.2513, 0.2049, 0.1441], [ 0.2782, -0.6351, -0.0526, ..., -0.0490, 0.0532, 0.4779]]]) 10: tensor([[[ 0.1494, -0.9942, -0.5780, ..., 0.0968, -0.0897, 0.2783], [-0.4816, -0.0760, 0.7342, ..., 0.0525, 0.1009, -0.8653], [-0.8986, 0.3398, 0.1489, ..., -0.1862, 0.7247, 0.2194], ..., [-0.1448, -0.1805, 0.4884, ..., -0.0442, 0.3981, 0.0575], [-0.2038, -0.1884, 0.5413, ..., 0.3106, 0.1353, 0.1665], [ 0.3652, -0.3962, 0.1800, ..., 0.2179, 0.0854, 0.4206]]]) 11: tensor([[[ 0.1602, -0.9107, -0.5598, ..., 0.0381, -0.1310, 0.3694], [-0.6774, 0.1147, 0.8463, ..., -0.2003, 0.0246, -0.5878], [-0.8356, 0.2223, 0.2051, ..., -0.0289, 0.5588, -0.0436], ..., [-0.0477, -0.3710, 0.6686, ..., 0.1423, 0.2476, 0.0946], [-0.0895, -0.1153, 0.7383, ..., 0.4509, 0.2396, 0.3321], [ 0.4265, -0.2394, 0.2235, ..., 0.2609, 0.1510, 0.6263]]]) 12: tensor([[[ 0.1804, -0.9203, -0.5095, ..., -0.0744, -0.1174, 0.3818], [-0.4822, 0.2293, 0.7352, ..., -0.1531, 0.3189, -0.4668], [-0.7606, 0.4502, 0.1782, ..., -0.3534, 0.6059, -0.2845], ..., [ 0.3035, -0.3825, 0.6158, ..., 0.2018, 0.2391, 0.3452], [ 0.2148, -0.0513, 0.9608, ..., 0.6069, -0.1017, 0.2969], [ 0.3132, -0.4191, 0.3617, ..., 0.3536, -0.0246, 0.5018]]]) 13: tensor([[[ 0.2579, -1.0105, -0.5391, ..., -0.0350, -0.2018, 0.4527], [-0.5892, -0.0668, 0.2954, ..., 0.4923, 0.4283, -0.3478], [-0.5394, 0.6289, -0.0081, ..., -0.2932, 0.1695, -0.3400], ..., [ 0.3479, -0.2819, 0.5159, ..., -0.0920, 0.0051, 0.4744], [-0.0488, -0.0777, 0.9142, ..., 0.3603, -0.2821, 0.4356], [ 0.4239, -0.3752, -0.0288, ..., 0.3040, -0.0241, 0.6260]]]) 14: tensor([[[ 0.2787, -1.0211, -0.4858, ..., -0.0717, -0.0655, 0.3964], [-0.5613, 0.1835, 0.2007, ..., 0.5506, 0.7094, -0.4538], [-0.8604, 0.4632, 0.0515, ..., -0.2653, 0.2988, -0.1526], ..., [ 0.2180, -0.4286, 0.5334, ..., 0.1519, 0.3255, 0.1936], [-0.0423, -0.0851, 0.7584, ..., 0.6393, 0.0962, 0.3938], [ 0.4066, -0.2077, -0.2057, ..., 0.6217, 0.7705, 0.8213]]]) 15: tensor([[[ 0.2775, -1.0251, -0.2647, ..., -0.0380, -0.0748, 0.5438], [-0.3799, 0.4772, 0.1746, ..., 0.3410, 0.7986, -0.1130], [-0.9207, 0.3409, 0.2368, ..., -0.4309, 0.5466, 0.1221], ..., [ 0.8401, -0.7829, 0.2243, ..., 0.3684, 0.3495, 0.3411], [ 0.2066, -0.1726, 0.7174, ..., 0.7118, 0.1628, 0.7256], [ 0.4135, -0.1522, -0.2650, ..., 0.3967, 0.8767, 0.8420]]]) 16: tensor([[[ 0.3045, -1.0667, -0.2115, ..., -0.0522, -0.1122, 0.5783], [-0.1775, 0.4324, 0.3462, ..., -0.1647, 0.6806, -0.4387], [-0.9005, 0.5850, 0.4714, ..., 0.1239, 0.7381, 0.1610], ..., [ 0.3454, -1.0274, 0.3866, ..., 0.0498, 0.6656, 0.0235], [-0.0661, -0.6716, 0.8590, ..., 0.1347, 0.1584, 0.5488], [ 0.1850, -0.2006, -0.0278, ..., 0.6544, 1.0978, 0.6811]]]) 17: tensor([[[ 0.3259, -1.0477, -0.2252, ..., 0.0335, -0.2652, 0.5971], [ 0.1394, 0.1578, 0.2010, ..., -0.3745, 0.5852, -0.5401], [-0.8800, 0.1826, 0.1795, ..., 0.1964, 0.9638, 0.0212], ..., [ 0.1715, -1.1422, 1.0401, ..., 0.0534, 0.9570, 0.1950], [-0.1654, -0.6176, 1.2888, ..., 0.0812, 0.4139, 0.2586], [ 0.0430, -0.0699, 0.1795, ..., 0.4906, 1.0145, -0.0948]]]) 18: tensor([[[ 0.3030, -0.9936, -0.3282, ..., -0.0327, -0.3823, 0.7322], [-0.0587, -0.0768, 0.1106, ..., -0.4957, 0.3430, -0.6586], [-1.0650, 0.4030, 0.1930, ..., 0.2991, 0.7162, -0.2361], ..., [-0.2698, -0.8385, 0.9011, ..., 0.0995, 0.3626, 0.3106], [-0.4361, -0.2013, 1.2650, ..., 0.0348, -0.1471, 0.4321], [-0.2604, 0.0984, -0.0865, ..., 0.8731, 0.6606, -0.1809]]]) 19: tensor([[[ 0.3025, -1.2240, -0.1138, ..., 0.1373, -0.4463, 0.8681], [ 0.1672, -0.2402, 0.1179, ..., -0.5150, 0.5125, -0.6390], [-0.5149, 0.7687, 0.3668, ..., 0.0490, 0.5433, -0.5278], ..., [ 0.0817, -0.7071, 0.3666, ..., 0.1205, 0.6713, 0.5683], [-0.2872, 0.0159, 0.5522, ..., -0.1198, -0.1754, 0.4904], [-0.9955, 0.1665, -0.1534, ..., 0.5872, 0.4052, -0.2714]]]) 20: tensor([[[ 0.4686, -1.2657, -0.0419, ..., 0.0919, -0.3436, 0.8809], [ 0.2393, -0.1203, -0.0780, ..., -0.8767, 0.3679, -1.1687], [-0.3623, 1.0490, 0.3784, ..., 0.5495, 0.7109, 0.0375], ..., [ 0.1030, -0.8448, 0.4431, ..., 0.5783, 0.3850, 0.7175], [-0.2952, -0.1832, 0.5188, ..., 0.5114, -0.1900, 0.5160], [-1.3673, 0.0078, -0.1833, ..., 0.6763, 0.1080, -0.4191]]]) 21: tensor([[[ 0.4442, -1.0962, 0.0778, ..., 0.0597, -0.3985, 0.7814], [ 0.6168, 0.3442, 0.2393, ..., -1.4191, 0.5622, -1.9148], [-0.3870, 1.0493, 1.0232, ..., 0.9389, 0.2935, 0.2764], ..., [-0.1637, -0.7439, 0.2897, ..., 0.8353, -0.2714, 0.8935], [-0.4328, 0.1171, 0.3047, ..., 1.1017, -0.3607, 0.3948], [-1.5561, 0.6474, -0.2632, ..., 0.4806, -0.1964, -0.1676]]]) 22: tensor([[[ 0.5059, -1.1660, 0.2683, ..., -0.0197, -0.3653, 0.8172], [ 0.4477, 0.8658, 1.1226, ..., -1.7330, 0.3925, -2.5433], [-0.7347, 1.5486, 1.5835, ..., 0.6815, 0.6137, 0.0684], ..., [-0.4414, -1.0017, 0.4460, ..., 0.7783, -0.6967, 0.8753], [-0.7737, 0.3452, 0.1340, ..., 1.0171, -0.4246, 0.6563], [-1.6691, 0.8424, -0.2240, ..., 0.5033, 0.0570, 0.2245]]]) 23: tensor([[[ 0.4414, -1.2350, 0.1653, ..., 0.0749, -0.5487, 0.5796], [ 1.1902, 1.1793, 0.2496, ..., -2.6183, 0.0181, -2.6027], [ 0.6151, 1.7325, 1.5289, ..., 0.6071, 0.8957, -0.1639], ..., [-0.3286, -1.1454, 0.6821, ..., 0.3358, -0.7147, 0.0908], [-0.7244, -0.0820, 0.3008, ..., 0.4174, -0.7891, -0.1054], [-1.4543, 0.9219, -0.3262, ..., -0.0129, -0.0300, -0.4303]]]) 24: tensor([[[ 0.4183, -1.1111, 0.1459, ..., 0.0492, -0.4547, 0.3954], [ 1.3079, 1.9014, 0.1168, ..., -2.9579, 1.0136, -3.0102], [ 1.4703, 2.9030, 1.5280, ..., 0.9282, 1.4056, -0.5773], ..., [-0.7241, -0.7990, 0.9611, ..., 0.2135, -0.3927, -0.5223], [-1.0516, -0.6649, 0.1585, ..., 0.6400, -1.1791, -0.4778], [-2.1634, 0.7026, -0.5073, ..., 0.0187, 0.1667, -0.9144]]]) 25: tensor([[[ 0.4975, -1.1003, 0.2274, ..., 0.1581, -0.4560, 0.4482], [ 1.2887, 3.1195, 0.5099, ..., -3.1410, 0.8265, -3.5222], [ 1.5727, 2.9817, 3.0178, ..., 2.0017, 1.9856, 0.8335], ..., [-0.7596, -1.2051, -0.3609, ..., 0.0340, -0.6446, -0.4900], [-0.4502, -0.9393, -0.9717, ..., 0.7627, -1.4155, -0.3062], [-1.6077, 0.9711, -0.2508, ..., -0.0328, -0.0049, -0.8300]]]) 26: tensor([[[ 0.4632, -1.1296, 0.2315, ..., 0.1767, -0.4738, 0.3622], [ 2.1170, 2.5406, 0.5568, ..., -2.5024, 1.1580, -3.6572], [ 2.0077, 2.7076, 3.1796, ..., 1.7921, 3.1051, 0.3964], ..., [-0.4329, -0.6378, -0.3879, ..., 0.7219, -0.0098, -0.6419], [-0.2963, -0.3354, -1.5588, ..., 1.6143, -1.3083, -0.0358], [-1.7367, 1.6437, -0.1600, ..., 0.7479, -0.5183, -0.7524]]]) 27: tensor([[[ 0.5150, -1.0300, 0.1991, ..., 0.2264, -0.4491, 0.3086], [ 1.3379, 3.0622, 0.4982, ..., -3.2566, 1.2575, -3.0621], [ 1.5631, 3.0329, 3.7311, ..., 1.7612, 2.7302, 1.3024], ..., [-1.5064, -1.6178, -0.4950, ..., 0.8081, 0.3910, -0.1958], [-1.7435, -1.2777, -1.6217, ..., 2.2667, -0.9967, 0.4589], [-1.9281, 0.9588, 0.1121, ..., 1.0093, -0.1027, -0.3087]]]) 28: tensor([[[ 0.5767, -0.9113, 0.1827, ..., 0.2441, -0.5849, 0.2632], [ 1.5843, 2.8582, 0.5249, ..., -3.4097, 1.9343, -2.9662], [ 1.1870, 2.8459, 3.1192, ..., 1.5039, 2.6153, 0.8242], ..., [-2.0717, -1.7458, -0.2281, ..., 0.8517, -0.1194, -0.1824], [-2.7189, -1.2781, -1.3595, ..., 2.4455, -1.3959, 0.5895], [-2.5390, 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-0.7529, -0.0922, ..., 0.9586, 0.6632, -0.8488], [-2.3789, -0.2678, -0.7191, ..., 2.3044, -0.5808, 0.2448], [-2.6286, 1.9182, -0.1159, ..., 1.2708, -1.2907, 0.1811]]]) 32: tensor([[[ 0.7360, -0.9609, 0.2117, ..., 0.1602, -0.8576, 0.1393], [ 2.0288, 3.4331, -0.8790, ..., -5.0096, 1.7184, -3.4330], [ 1.5807, 3.1549, 2.2227, ..., 1.8808, 1.5281, -1.7718], ..., [-2.5916, -1.0264, 0.1866, ..., 1.2599, 0.1437, -1.0106], [-3.0093, -0.6609, -0.1588, ..., 2.0253, -0.2694, -0.2608], [-2.9714, 1.6354, 0.4501, ..., 1.0231, -1.6038, -0.2278]]]) 33: tensor([[[ 0.7091, -0.9420, 0.2560, ..., 0.1747, -0.9458, 0.0255], [ 1.8583, 4.0141, -0.9734, ..., -5.9333, 2.0905, -3.3307], [ 1.0070, 3.2188, 1.9731, ..., 1.2526, 0.8178, -1.5600], ..., [-3.2309, -0.7533, 0.3404, ..., 1.7398, 0.0337, -0.7786], [-3.9436, -0.5937, -0.3725, ..., 2.3482, -0.2888, -0.1791], [-3.6721, 1.9502, 0.3553, ..., 1.5413, -1.2077, 0.3369]]]) 34: tensor([[[ 0.8220, -0.9002, 0.5914, ..., 0.1699, -0.9568, -0.2156], [ 2.0030, 3.9488, -0.5989, ..., -5.9207, 1.9659, -2.7657], [ 0.3571, 2.8542, 2.0260, ..., 1.0885, 0.9702, -1.9109], ..., [-3.2293, -0.7700, 0.5879, ..., 1.2868, 0.3200, -0.9051], [-3.5408, -0.4310, -0.0260, ..., 2.0054, -0.4963, 0.3940], [-3.7591, 2.4173, 0.9299, ..., 1.0876, -1.3874, 1.1661]]]) 35: tensor([[[ 0.8000, -0.7871, 0.4189, ..., 0.1287, -1.0022, -0.4476], [ 1.1691, 4.1692, -1.5696, ..., -5.4434, 1.2151, -3.6666], [-0.2417, 2.3720, 2.2759, ..., 0.9959, 1.6046, -2.2331], ..., [-3.3379, -1.0997, 0.2267, ..., 1.7759, -0.7057, -1.4591], [-3.5107, 0.1426, -0.6608, ..., 2.2933, -1.2291, 0.3335], [-3.4814, 2.6906, 0.9168, ..., 2.1491, -1.9988, 0.6999]]]) 36: tensor([[[ 0.7517, -0.8398, 0.6370, ..., -0.0448, -0.7869, -0.4015], [ 1.0138, 4.6372, -1.4853, ..., -5.8695, 2.0432, -4.1288], [-0.0835, 2.0479, 3.0634, ..., 1.8259, 1.6257, -1.3732], ..., [-3.3514, -1.7321, 0.3855, ..., 2.2877, -1.7054, -1.1561], [-3.7239, -0.0938, -0.1987, ..., 2.5089, -2.6936, 0.0167], [-3.9280, 2.4186, 0.5142, ..., 1.9166, -3.7178, 0.3491]]]) 37: tensor([[[ 0.9170, -0.7245, 0.6230, ..., 0.2104, -0.5517, -0.6868], [ 1.2874, 4.5292, -1.5664, ..., -5.9701, 2.3733, -4.1725], [-0.2766, 2.4303, 4.0938, ..., 1.8671, 1.9985, -1.3845], ..., [-3.9347, -2.5929, 0.9504, ..., 2.1471, -2.1064, -2.1593], [-3.6325, -0.9895, -0.3109, ..., 2.0022, -2.2564, -1.4084], [-3.6424, 1.4958, 0.3539, ..., 1.3122, -3.3704, 0.2221]]]) 38: tensor([[[ 0.8056, -0.4584, 0.9490, ..., 0.2496, -0.6052, -0.5354], [ 1.0454, 4.6582, -2.5552, ..., -6.1068, 1.5839, -3.1076], [-0.4167, 2.3306, 3.8001, ..., 2.5002, 1.2226, -1.7264], ..., [-3.2565, -2.6058, 0.7800, ..., 1.0747, -2.8469, -2.8562], [-3.4737, -1.1396, 0.1502, ..., 1.3525, -3.2863, -2.0740], [-3.2968, 1.0202, 0.2031, ..., 0.9155, -4.0464, 0.2188]]]) 39: tensor([[[ 0.2563, -0.7516, 0.9785, ..., 0.2588, 0.0239, -0.5686], [ 1.1201, 4.0922, -3.4734, ..., -5.2470, -0.9760, -2.8315], [-0.1410, 3.4196, 4.6781, ..., 1.8651, 0.5242, -2.1196], ..., [-4.1437, -3.2829, -0.0823, ..., 1.4814, -4.9127, -3.0089], [-3.9932, -2.5998, -0.3789, ..., 2.8980, -5.2200, -2.7530], [-3.4912, 0.5698, 0.9979, ..., 1.5503, -5.1404, 0.4663]]]) 40: tensor([[[-0.9813, -0.8804, -0.4755, ..., -0.3719, -0.1792, -0.4012], [-0.2367, 0.8228, -1.0972, ..., -1.0244, -0.2596, -0.2143], [-0.2036, 0.5696, 0.9712, ..., 0.0561, 0.0137, -0.8077], ..., [-1.2212, -0.8229, -0.7962, ..., -0.0720, -1.5204, -0.3998], [-1.4354, -0.8302, -0.8383, ..., 0.4408, -1.5116, -0.3558], [-1.1722, -0.0928, -0.4849, ..., 0.1130, -1.0798, 0.3545]]])