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LangChain Releases Technical Guide: In-Depth Explanation of LLM-as-Judge Automated Evaluation in LangSmith

2026-06-07 02:32:48

Abstract generation in progress

ME News News, April 20 (UTC+8), the LangChain community recently released a technical guide focusing on using LLM-as-Judge for large-scale automated evaluation on the LangSmith platform. The guide was written by Simon Budziak, who mentioned that the evaluation results obtained using this method have an 85% consistency with human judgment. The guide also introduces the Align Evals feature, which aims to achieve self-improving calibration. The article includes a link to the full guide for reading. (Source: InFoQ)

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