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Slash recommendation model exploration costs by 80% with a framework that accurately predicts full-scale performance from small-scale proxies.
PLES can uncover optimal hyperparameter scaling laws for LLMs using a fraction of the resources typically required, revolutionizing hyperparameter tuning efficiency.