Why it matters
Scaling laws guide model + data sizing. Foundational for LLM training.
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The architecture
Loss L as power law: L(N) proportional to N^-alpha.
Similarly for data D + compute C.
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How it works end to end
Log-log plots reveal power laws.
Irreducible loss floor.
Compute-optimal frontier defines best N per D.