An agent evaluation framework is a structured method to assess the performance, reliability, and decision-making of AI agents. It uses predefined metrics like accuracy, efficiency, and adaptability to test how well agents handle tasks. Developers, data scientists, and product managers use it to refine models, while end users benefit from more trustworthy and effective automated systems.
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