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Best practices for getting reliable scores from large models include using a scoring rubric, scoring multiple dimensions separately and then weighting them, calibrating with few-shot examples, requiring chain-of-thought analysis item by item, and optionally using multiple sampling with averaging or setting temperature=0.
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9/2/2026
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