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News/Foundations of the Scaling Law
arxiv
PublishedOctober 27, 2026 at 4:00 AM

Foundations of the Scaling Law

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arXiv:2610.27789v2 Announce Type: replace Abstract: Empirical scaling laws relate loss to parameters $N$, training tokens $D$ and compute $C$. This technical note explains three mechanisms behind their exponents. Local approximation bounds function error at rate $N_e^{-\gamma s/d}$, with effective p

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