Join NVIDIA, Databricks, and SuperAnnotate to explore how leading teams build trustworthy AI agents through structured evaluation and domain expert feedback. We’ll dive into why evaluating agents is harder than traditional ML, share best practices for developing and scaling LLM-as-a-Judge systems, and show how to implement formalized domain expert feedback loops that improve performance and alignment over time.
