The article outlines a method for content creators to build evaluations for AI agents using synthetic queries when real production data is unavailable. By defining variable dimensions and generating structured test cases, creators can trace agent performance issues, refine goals, and iteratively improve until failures are minimized. This process helps in understanding the nuances of agent behavior across different scenarios.
Read the full article at Hacker Noon - ai
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Ali NematiWritten by Ali
