Train-to-Test Scaling: Why Overtraining Can Become Compute-Optimal

from Mastering Language Models: From Architecture to Optimization

A forward-looking episode on Train-to-Test scaling laws, which jointly optimize model size, training tokens, and inference samples under end-to-end compute budgets.

Episode metadata supplied by the publisher feed · Published Apr 26, 2026

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Train-to-Test Scaling: Why Overtraining Can Become Compute-Optimal

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This episode is 11 minutes long.

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This episode was published on April 26, 2026.

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