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LangChain 发布 Traces 和 Evals 机制,助你从手动调试转向持续改进

Traces show the inputs, model calls, tool calls, outputs, and final action. Evals turn those learn...

精选理由

想从手动调 bug 升级到自动化评估?LangChain 的 traces 和 evals 帮你把每次运行变成可测指标,持续优化 agent。

AI 摘要

LangChain 推出 Traces 功能,可记录 inputs、model calls、tool calls、outputs 和 final action。Evals 将这些学习转化为测试,用于验证下一版本是否更优。团队可借此从手动调试转向持续改进循环。LangChain 创始人 Harrison Chase 将于 6 月 24 日举办深入研讨会。

原文 · LangChain

Traces show the inputs, model calls, tool calls, outputs, and final action. Evals turn those learn...

Traces show the inputs, model calls, tool calls, outputs, and final action. Evals turn those learnings into a way to test whether the next version is better. This is how teams move from manual debugging to a continuous improvement loop. Join @hwchase17 for a deep dive on June 24th. Register here: events.langchain.com/webinar/the-ag… 💬 1 🔄 2 ❤️ 4 👀 867 📊 2 ⚡

  • AWS Machine Learning Blog06-15 18:07原文
  • Guillermo Rauch06-17 13:46原文