CopilotKit 发布 CLiF：把 Agent 轨迹转化为技能与微调数据
CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data
CopilotKit 出了个 CLiF，能把 Agent 的运行轨迹自动变成技能库和微调数据，省掉手写几百条 eval 的苦活，做 Agent 的可以看看。
CopilotKit 发布了 CLiF 持续学习平台，用于解决 AI Agent 在具体产品内难以稳定完成端到端任务的问题。CLiF 会采集 Agent 运行轨迹和用户操作，把它们转化成可复用的技能、评测集和微调数据。团队因此可以减少手工编写评测的工作量——此前往往需要为关键工作流写数百甚至上千条评测。平台面向构建在 Fable、Astra 等顶级模型之上的 Agent 部署场景。
CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data
Introduction Teams shipping AI agents at scale keep running into the same pattern. Even agents built on top-tier models like Fable and Astra struggle to carry out complex, end-to-end tasks inside a specific product consistently enough to deploy. So teams grind out evals for the workflows that matter most, often hundreds or thousands of hand-written […] The post CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data appeared first on MarkTechPost .
