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.

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Frequently Asked Questions

How long is this episode of Mastering Language Models: From Architecture to Optimization?

This episode is 11 minutes long.

When was this Mastering Language Models: From Architecture to Optimization episode published?

This episode was published on April 26, 2026.

What is this episode about?

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.

Can I download this Mastering Language Models: From Architecture to Optimization episode?

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