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Calibration
AI Glossary Term
What is Calibration?
Definition
How well a model's confidence scores match actual correctness probabilities.
Related terms
Trust Calibration
Aligning user confidence in AI outputs with the system's actual reliability in each task.
Generalization
How well a model performs on new, unseen data outside the training set.
Factuality
How accurately a model's claims match verifiable real-world information.
Cross-Entropy Loss
A common objective function used to train classification models by penalizing incorrect probabilities.
Confidence Interval
A statistical range that likely contains the true value of a measured model metric.
Cross-Encoder
A model that scores a query and document together in one pass for high-accuracy relevance judgments.
Learn more in our free guides
AI Trust Calibration
Probability Calibration
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