In today's rapidly evolving technological landscape, the concept of multi-agent conversations is gaining significant traction. At its core, this involves multiple AI agents, each with distinct roles and capabilities, interacting seamlessly to accomplish complex tasks. A prime example of this is Microsoft's AutoGen framework, an open-source platform designed to facilitate the creation of such collaborative AI systems. And in this blog, we will learn how we can leverage the Google's Gemini to use AutoGen. Understanding Multi-Agent Conversations Imagine a scenario where several AI agents, each specialized in a particular domain—be it language translation, data analysis, or customer service—come together to solve a problem. This collaborative approach mirrors human teamwork, where diverse expertise converges to achieve a common goal. In the realm of AI, this is made possible through frameworks like AutoGen, which provide the necessary infrastructure for these agents to communic...