🚀Join NVIDIA, Databricks, and SuperAnnotate for a deep dive into how top teams evaluate and improve AI agents using structured evaluation and domain expert feedback.
- Why is evaluating agents harder than traditional ML?
- How do you build scalable LLM-as-a-Judge systems?
- What does a high-impact human-in-the-loop feedback loop actually look like?
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