Continuous Evaluation
An evaluation approach that continuously measures AI system performance throughout development and production to detect regressions and ensure quality.
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Related terms
An evaluation performed on live or production-like interactions to continuously assess an AI system's behavior, quality, safety, or performance.
Regression EvaluationAn evaluation technique that checks whether system updates or model iterations introduce unexpected performance degrades.
Offline EvaluationAn evaluation performed outside production using fixed datasets, test cases, or recorded interactions to assess an AI system before deployment.
Model MonitoringThe practice of continuously tracking an AI model's performance, behavior, usage, and operational health in production.
Benchmark RunA single execution of a benchmark used to measure and record a model or system's performance under defined conditions.