Data Flywheels for LLM Applications
Read OriginalThis technical article proposes a framework for creating self-improving LLM applications using data flywheels. It discusses the need for human-in-the-loop evaluation, the challenges of fine-tuning, and the use of LLM-as-a-judge. The author outlines a three-part system focusing on evaluation metrics, monitoring, and continual improvement to automatically enhance application performance using production data.
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