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Explore the evolution of custom copilots from basic LLM and retrieval augmented generation (RAG) implementations to sophisticated multi-agent systems in this 24-minute conference talk. Learn how modern copilot solutions integrate multiple APIs, models, metaprompts, and grounding data to create more powerful AI assistants. Discover how Azure AI Studio and Promptflow enable developers to architect and deploy complex multi-agent copilot architectures while maintaining scalability and performance. Examine advanced development features including comprehensive debugging tools, security frameworks, and monitoring capabilities essential for building production-ready AI solutions. Gain insights into emerging patterns in copilot development and understand the technical considerations for creating intelligent, secure, and scalable AI applications that can handle real-world enterprise requirements.
