LangChain CEO 演讲：从 trace 数据挖掘是理解智能体的高杠杆方法

精选理由

LangChain 老大分享怎么用 trace 数据搞懂你的智能体，还能循环改进，做 AI 应用的一定要听。

AI 摘要

LangChain CEO Vtrivedy10 在 aiDotEngineer World's Fair 演讲，强调从 trace（追踪）数据中挖掘是理解智能体（agent）行为的关键。他指出，这能帮助公司大规模策划数据，并建立改进循环。该演讲聚焦如何通过 trace 数据驱动智能体性能提升，而非具体产品更新。

原文 · LangChain

ICYMI: At @aiDotEngineer World’s Fair, @vtrivedy10 took the stage to share why data mining from trac...

ICYMI: At @aiDotEngineer World’s Fair, @vtrivedy10 took the stage to share why data mining from traces is one of the highest leverage muscles companies can build to understand their agents, curate data at scale, & then run improvement loops. Viv @Vtrivedy10 x.com/i/article/2073… 🔗 View Quoted Tweet 💬 2 🔄 0 ❤️ 1 👀 1072 📊 2 ⚡

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