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Introducing Align Evals: Streamlining LLM Application Evaluation 🚀

LangChain · 2025-07-29 · 13м 16с · 6 945 просмотров · YouTube ↗

Топики: ai-agent-orchestration

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Evaluations are a key technique for improving your application — whether you’re working on a single prompt or a complex agent. Iterating on evaluators has often involved a lot of guesswork. 

With Align Evals you get:
- A playground-like interface to iterate on your evaluator prompt and see the evaluator’s “alignment score”
- Side-by-side comparison of human-graded data and LLM-generated scores, with sorting to identify “unaligned” cases
- A saved baseline alignment score in order to compare your latest changes to the previous version of your prompt

Get started by heading to our developer documentation: https://docs.smith.langchain.com/evaluation/tutorials/aligning_evaluator
Leave us your feedback in the LangChain community form: https://forum.langchain.com/t/introducing-align-evals-streamlining-llm-application-evaluation/817