perspectiva aiqbenchProduse AI

CopilotKit's release of CLiF addresses a critical bottleneck in scaling AI agents by automating the conversion of agent traces and user interactions into fine-tuning datasets and evaluation metrics. This tool directly enhances the lifecycle of production-grade AI systems, enabling continuous improvement through data derived from real-world agent performance rather than static benchmarks.

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CopilotKit Releases CLiF: A Continual Learning Platform That Turns Agent Traces and User Actions into Skills, Evals, and Fine-Tuning Data

MarkTechPost15 octombrie 20261 min de cititArticolul și perspectiva sunt în engleză.

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.

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