CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data
CopilotKit released CLiF, turning agent traces and user actions into skills, evals, and fine-tuning data.
CopilotKit announced CLiF, a continual-learning platform for AI agents. CLiF turns agent traces and recorded user actions into reusable skills, evaluation sets, and fine-tuning datasets. The captured page did not include model names, sizes, benchmark scores, or security findings.
- CopilotKit launched the CLiF continual-learning platform.
- It converts agent traces and user actions into skills and evals.
- The same pipeline produces fine-tuning data for agents.
- Products
- CLiF
- Organizations
- CopilotKit
From the original article
14 min read at marktechpost.com
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 […]
By Asif Razzaq · marktechpost.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.