Offline Evaluation
An evaluation approach that uses fixed test datasets during the development stage to verify the performance of AI agents. It supports repeated runs and version comparisons, helping to identify obvious problems before deployment.
Timeline (last 90 days)
Offline evaluation and online evaluation are complementary, not mutually exclusive.
Evaluation can be divided into online evaluation (real-time monitoring in a production environment) and offline evaluation (batch testing on a fixed test set), with the latter being the foundation for rapid iteration.
All Facts (2)
Offline evaluation and online evaluation are complementary, not mutually exclusive.
50%UnverifiedEvaluation can be divided into online evaluation (real-time monitoring in a production environment) and offline evaluation (batch testing on a fixed test set), with the latter being the foundation for rapid iteration.
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