{"id":2831,"date":"2024-06-17T10:37:11","date_gmt":"2024-06-17T17:37:11","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/semantic-kernel\/?p=2831"},"modified":"2024-06-17T10:37:40","modified_gmt":"2024-06-17T17:37:40","slug":"step-by-step-guide-to-develop-ai-multi-agent-system-using-microsoft-semantic-kernel-and-gpt-4o","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/agent-framework\/step-by-step-guide-to-develop-ai-multi-agent-system-using-microsoft-semantic-kernel-and-gpt-4o\/","title":{"rendered":"Step by Step guide to develop AI Multi-Agent system using Microsoft Semantic Kernel and GPT-4o"},"content":{"rendered":"

Today we want to highlight a recent Medium article published here: Step by Step guide to develop AI Multi-Agent system using Microsoft Semantic Kernel and GPT-4o | by Akshay Kokane | Jun, 2024 | Medium<\/a><\/p>\n

We’ve included a few excerpts below, but click here<\/a> to read the full article. A Microsoft colleague, Akshay Kokane, details how to develop an AI Multi-Agent system using Microsoft Semantic Kernel and GPT-4o. This blog series will equip you to not only understand AI agents but also build your own using the powerful Semantic Kernel<\/strong> framework. Semantic Kernel boasts a smooth onboarding process, effortlessly manages multiple Large Language Models (LLMs), and provides pre-built features like planners to simplify orchestration.<\/p>\n

From Chatbots to AI Assistants: The Evolution of AI Agents<\/strong><\/h5>\n

Since the launch of GPT models, terms like \u201cchatbot,\u201d \u201cRAG,\u201d \u201cCopilot,\u201d and now \u201cagent\u201d have dominated the AI landscape. As Semantic Kernel\u2019s documentation clarifies: \u201cAn agent is an artificial intelligence that can answer questions and automate processes for users.\u201d With Semantic Kernel, you can build a wide range of agents, from simple chatbots to fully automated AI assistants.<\/p>\n

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Building Multi-Agent Software Development Team with Semantic Kernel and GPT-4o<\/strong><\/h5>\n

We\u2019ll explore the exciting world of building AI agents using Semantic Kernel and the OpenAI Assistant API. We\u2019ll simulate a collaborative development process, outlining the roles of key team members:<\/p>\n