LangChain后训练专用检测模型，低成本高准确识别生产Agent迹问题
精选理由
LangChain搞了个专门检测Agent问题的模型，又准又便宜，比用GPT-4省太多钱了，快去试试。
LangChain后训练了一个专用模型，用于检测生产环境中的智能体迹（agent traces）问题。该模型在准确性上达到SOTA，推理成本仅为前沿模型的1/10至1/100。用户可通过Airtable链接直接试用。
原文 · Harrison Chase
Detecting issues in production agent traces is hard. You have to do it cheaply (because of volume) but also accurately (or too much noise) We post-trained our own model for this. SOTA accuracy, at ~10-100x cheaper rates than frontier models Try it out: airtable.com/appWdRBlSecNOg… Viv @Vtrivedy10 x.com/i/article/2066… 🔗 View Quoted Tweet 💬 5 🔄 2 ❤️ 43 👀 5423 📊 13 ⚡
