The user wants to understand Model Monitoring in the context of Model Evaluation & Monitoring and apply it to practical AI governance or compliance work.
Model monitoring is the continuous observation of a deployed model's performance, inputs, outputs, drift, errors, latency, and operational health. It helps detect degradation, misuse, bias, security issues, and conditions that require retraining or intervention.
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