Introducing Align Evals: Streamlining LLM Application Evaluation ๐Ÿš€

LangChain ยท Beginner ยท๐Ÿง  Large Language Models ยท11mo ago

Key Takeaways

Introduces Align Evals for streamlining LLM application evaluation with a playground-like interface and side-by-side comparison of human-graded data and LLM-generated scores

Original Description

Evaluations are a key technique for improving your application โ€” whether youโ€™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 evaluatorโ€™s โ€œalignment scoreโ€ - Side-by-side comparison of human-graded data and LLM-generated scores, with sorting to identify โ€œunalignedโ€ 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
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