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Advanced Autonomous AI Agents - Memory, Collaboration and Evolution in Action

NDC Conferences via YouTube

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Explore the cutting-edge world of agentic AI systems in this comprehensive conference talk that delves into building advanced autonomous AI agents using the .NET ecosystem and Azure. Learn to develop goal-driven AI systems that can act on users' behalf, moving beyond simple chat interfaces to sophisticated collaborative agents. Discover practical implementation strategies using Microsoft Agent Framework as the AI SDK and models hosted in Azure Foundry. Master critical aspects of agent development including optimal collaboration patterns between agents, evolutionary mechanisms for agent improvement, effective memory management strategies, and economic handling of web requests to minimize token costs. Examine how agents can reason over complex topics such as economic data and explore the best current models for building agentic systems. Gain insights into real-world challenges when building agents that interact with external systems through .NET logic or Model Context Protocol (MCP) services. Benefit from hard-earned lessons, practical demonstrations, and solutions to common pitfalls in autonomous AI agent development.

Syllabus

Advanced Autonomous AI Agents: Memory, Collaboration and Evolution in Action - Andreas Wänqvist

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NDC Conferences

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