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Apple Research Proposes Scaling Laws for Mixture Pretraining Under Data Constraints

This story is from 2026-08-20. It is preserved in the archive; the latest stories are on the live feed.

Apple Machine Learning Research introduces scaling laws for mixture pretraining when target data sources are limited, addressing how models scale with constrained data.

Read the full story at Apple Machine Learning Research ↗

Timeline · 1 report

  1. 2026-08-20 00:00 · Apple Machine Learning Research
    Scaling Laws for Mixture Pretraining Under Data Constraints

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