Agent evaluation assesses an AI system's performance, reliability, and decision-making in real-world tasks. It involves testing with benchmarks, user feedback, and safety checks. Developers use it to refine models, businesses deploy it for operational efficiency, and end-users gain trustworthy interactions. This process ensures agents meet goals ethically and effectively.
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