How Agentic Multi-Agent AI Works Build Local Agents with AutoGen + Ollama
AI Summary
In this video, the presenter explains the concept of agentic multi-agent systems, which are collections of AI agents that work collaboratively or competitively to achieve specific goals. The video begins with a brief recap of AI agents, describing them as autonomous systems capable of perceiving, deciding, and acting independently. The presenter illustrates how these systems can work together, coordinating tasks and delegating responsibilities, much like specialists in different fields. Examples of existing agentic multi-agent systems, including some developed by Chinese companies and Microsoft, are provided. The presenter also shares insights about building custom agentic multi-agent systems with accessible technologies. The demonstration showcases a simple model operating locally, using a fictional researcher, summarizer, and coordinator agents to manage tasks efficiently, offering real-time interaction and optimization of responses. Ultimately, the video emphasizes the evolving role of these intelligent agents in automating complex workflows, suggesting a future where AI agents perform many tasks for users.