Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations Alexander Hägele

Neural Information Processing Systems 

Scale has become a main ingredient in obtaining strong machine learning models. As a result, understanding a model's scaling properties is key to effectively

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