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Amortizing Scaling Law Construction Costs

Jha, Abhash Kumar et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Scaling laws guide the design choices for training large foundation models, but deriving them involves training an exhaustive grid over hyperparameters, token budgets, and parameter counts, which is computationally expensive. Fitting a scaling law, however, only requires the best-loss frontier acros
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