Unverified50% confidenceFactExact time
Calibration of the response decision refers to the degree of match between the model's confidence in its binary judgment of 'whether to act' and the actual accuracy.
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10/16/2026
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Unverified校准性（Calibration）指模型表达的置信度与实际准确率之间的一致程度，是评估AI模型质量的核心指标之一80% similarUnverifiedThe validator focuses on whether the result satisfies mechanically verifiable constraints and makes a binary, objective judgment; the evaluator focuses on whether the output quality meets the goal and makes a subjective judgment at the semantic level.75% similarUnverifiedThe evaluation suite is itself a model with precision and recall relative to human judgment, and both should be tracked.74% similarUnverifiedResult validation requires establishing objective quantitative standards—such as classification accuracy, reply compliance, and manual correction ratio—and calculating statistics over a sufficient sample size.73% similarUnverifiedThe model's confidence is calibrated, trained via reinforcement learning with strict scoring rules, statistically aligning output probabilities with actual accuracy.72% similar
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