Scaling Data-Constrained Language Models: When Fresh Text Runs Out

from Mastering Language Models: From Architecture to Optimization

A deep dive into data-constrained scaling, explaining repeated data, effective tokens, diminishing returns, and the training-data bottleneck.

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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 deep dive into data-constrained scaling, explaining repeated data, effective tokens, diminishing returns, and the training-data bottleneck.

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