Nicholas Roberts presents Train-to-Test (T²) scaling laws, which jointly optimize model size, training tokens, and test-time samples—and show why reasoning models should be overtrained well beyond Chinchilla-optimal ratios. The post Train-to-Test (T²) Scaling Laws: Why Reasoning Models Should Be Overtrained appeared first on Snorkel AI .
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