Building Intelligent Multi-Agent Systems: A Deep Dive into Autonomous Agents Powered by LLM

Author's): AbhinayaPinreddy

Originally published in Towards Artificial Intelligence.

πŸ€” Imagine this…

You manage a complex project – say, organizing a corporate conference. You need someone to find venues, someone to handle catering, someone to manage the budget, and another to coordinate speakers. Now imagine that instead of micromanaging each person, you could simply tell your manager, “Hold a conference for 200 people in March,” and he or she would automatically delegate tasks, monitor progress, adjust plans when something goes wrong, and make sure everything gets done perfectly.

Now let's dive in how these systems actually work. The most effective agent architectures follow a The planner-doer pattern with many specialized sub-agents.

This article discusses the development and functionality of intelligent multi-agent systems based on large language models (LLM). Basic components such as the Planner-Executor architecture, the roles of data agents and subagents, and the applications of these agents in various fields are discussed. Finally, the article includes an implementation guide that describes in detail the steps necessary to build your own multi-agent system, while emphasizing the importance of verification and optimization in their operation.

Read the entire blog for free on Medium.

Published via Towards AI

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