The Loop That Watches the Loop
📰 Medium · AI
Learn how traces and evals improve AI agent performance by recording and refining their actions
Action Steps
- Build an agent that generates traces of its actions
- Run evaluations on the traces to identify areas for improvement
- Configure the agent to learn from the evals and refine its performance
- Test the updated agent and compare its performance to previous versions
- Apply the insights from traces and evals to other AI projects and systems
Who Needs to Know This
AI engineers and researchers can benefit from understanding the role of traces and evals in refining agent performance, enabling them to develop more efficient and effective AI systems
Key Insight
💡 Traces and evals are essential for refining AI agent performance and enabling continuous improvement
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🤖 Improve AI agent performance with traces & evals! 📈
Key Takeaways
Learn how traces and evals improve AI agent performance by recording and refining their actions
Full Article
Why traces are the real record of what your agent did, and evals are how that record makes it better. Continue reading on Medium »
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