Short Answer

Calculating Loss Reduction from Increased Dataset Size

A research team is training a large language model and finds that its loss (L) follows the empirical power law with respect to dataset size (D): L(D)=(D5.4×1013)0.095L(D) = \left(\frac{D}{5.4 \times 10^{13}}\right)^{-0.095} If the team doubles the size of their training dataset, by what approximate percentage will the model's loss decrease? Provide your final answer and the key calculation step.

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Updated 2025-10-08

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Ch.2 Generative Models - Foundations of Large Language Models

Foundations of Large Language Models

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