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METR is a nonprofit research institute that evaluates frontier AI models, with a focus on capabilities, long-horizon tasks, and safety-relevant risks.
A modeling issue where an AI system learns training data too precisely, reducing its ability to generalize. Managing overfitting ensures models perform reliably on new, unseen data.