19min chapter

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Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241

MLOps.community

CHAPTER

Importance of Online Evaluation in Agent Systems

The chapter delves into the significance of online evaluation for complex DevOps automation agent systems, highlighting the challenges of intervention due to task unpredictability. Emphasis is placed on post-processing data offline to analyze task completion and user feedback, along with essential metrics like turn generation counts and error loops. Various use cases for online evaluation, such as product description generation and code generation, are discussed to stress the need for effective checks before presenting outputs to users.

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