Human judgment in the agent improvement loop
LangSmith focuses on integrating human judgment into the AI agent improvement loop to enhance performance, emphasizing components like workflow design and tool selection that require expert input. It uses automated evaluations, such as the Align Evaluator, to provide continuous feedback and refine agent behavior, while also leveraging production data for iterative improvements. Teams curate and validate datasets to ensure agents evolve optimally through a combination of automated and human insights.
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