Capability
Loss Prediction Across Model Scales Via Empirical Scaling Law Interpolation
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Find the best match →vs others: More comprehensive than single-task scaling studies (e.g., MMLU alone) because it reveals that scaling laws vary dramatically by task type, preventing overgeneralization from narrow benchmarks
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