Closing the Loop: Feedback based Learning for Agentic RAG on Azure
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This video demonstrates how to implement feedback-based learning for agentic RAG systems on Azure, enabling AI agents to continuously improve from user interactions. It covers building closed-loop systems that capture user feedback, retrain models, and update retrieval pipelines. Targeted at developers building production AI systems who want to create self-improving agentic applications.