The article discusses how to use evaluations, or "evals," in Microsoft Copilot Studio to test AI agents. Rather than manually inputting and checking responses to predefined questions each time an agent is updated, evals provide a method to automate this process. Users can create reusable test sets containing questions or conversations to evaluate the AI's responses, allowing for continued testing and improvement. The guide includes instructions for building a simple AI agent, like an Employee Travel Policy Agent, adding a knowledge base, and manually testing the agent. Once test sets are created, they can be evaluated to assess the quality of the interaction, rather than just checking for exact expected outputs, ensuring the AI meets the correct criteria without making up information. Users can generate conversation sets automatically or create custom evaluations based on required criteria, thereby setting a structured and efficient way to develop reliable AI agents.
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