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7:02
YouTube
Krim Delko
Not Even Wrong, October 7 2025
Pre-training under infinite compute. Paper discussion. Regularization and ensembling improves model performance on fixed data. Regularization reduces impact on individual weights that can dominate a model. Less memorizing, more generalization. Ensembling is using same data and train on same model with different hyper parameters. Then average ...
1 week ago
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