How to Build Multi-Agent Systems Using Semantic Kernel
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00:00 Introduction
00:08 Join Me on Social Media
00:35 Chat,RAG,Copilot
02:00 Agent
03:00 Multi-Agent
03:10 Semantic Kernel Agent Use Case
04:19 Implementation
12:27 Demo
12:44 Fixing Bugs
14:45 Handling Non-Approval Cases
In the context of Semantic Kernel, a multi-agent system is a framework where multiple AI agents collaborate to perform tasks and solve problems. Each agent operates autonomously, utilizing AI models to execute specific functions. Here are some key points about multi-agent systems in Semantic Kernel:
Agents: Software-based entities that employ AI models to perform tasks for users.
Functions: They can be designed for various purposes, such as answering questions (chatbots), assisting with tasks (copilots), or autonomously handling repetitive tasks.