Introducing Align Evals: Streamlining LLM Application Evaluation

Langchain··Submitted by Mads Kristian Nylund
AI DevelopmentAI ToolsAI Evaluation

Align Evals is a new feature in LangSmith that enables teams to refine their evaluators by comparing LLM-generated scores with human-graded data, tracking alignment over time, and reducing evaluation noise. It allows users to test prompts, identify unaligned cases, and iteratively improve evaluator performance. The feature is available for LangSmith Cloud users and will be released to Self-Hosted later this week, offering a playground-like interface for evaluating prompt effectiveness and ensuring alignment with human expectations.

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