Unlock: Scaling Laws
Power-law scaling of LLM loss in parameters, data, and compute: Kaplan, Chinchilla, the Muennighoff data-constrained law for repetition, the Schaeffer metric-induced-emergence proposition, MoE and muP extensions, and the test-time compute axis.
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