精选理由
Clay团队分享每月3亿+智能体评估经验，教你如何构建评估框架和闭环。
Clay团队分享了每月3亿+次智能体评估的扩展方法。他们介绍了四象限评估框架。生产环境到评估的闭环是最困难的部分。数据湖和长上下文改变了智能体处理数据的能力。
原文 · LangChain
In 13 minutes, @jeffbarg, Vyshu Khota, and Soroush Khadem walk through how Clay scaled agent evals a...
In 13 minutes, @jeffbarg , Vyshu Khota, and Soroush Khadem walk through how Clay scaled agent evals agents at 300M+ runs a month. Topics covered: ✅ Their four quadrant eval framework ✅ Why closing the production-to-eval loop is the hardest part ✅ How a data lake and long context changed what agents can do with data Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 2 ❤️ 6 👀 1217 📊 1 ⚡