LearnAI

Navigation

Introduction to AI

Machine Learning

Deep Learning

NLP & LLMs

Computer Vision

Generative AI

Reinforcement Learning

AI Ethics & Governance

Tools & Frameworks

General

AI Agent Orchestration with AutoGen

Microsoft AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.

Core Concepts

  • Conversable Agents: Agents that can send and receive messages.
  • Customizable Roles: Defining specific expertise for different agents (e.g., a “Coder” and a “Reviewer”).
  • Human-in-the-loop: Easily integrating human feedback into the agent conversation.

Benefits of Multi-Agent Systems

  • Complex Task Solving: Breaking down problems that a single LLM might struggle with.
  • Specialization: Allowing different agents to focus on specific domains.
  • Improved Reliability: Agents can check and correct each other’s work.

Getting Started

To use AutoGen, you define the agents, their properties, and the task you want them to address. The framework manages the conversation flow automatically.