Microsoft AutoGen: A Cutting-Edge Multi AI Agent Framework
Enabling Interactions and Auto-Correction among LLM agents
Being a foodie and a manager by profession, I love watching Masterchef and Hell’s Kitchen. These shows brings out all the key characteristics that one would need in a successful team — skills, experience, and dedication to overcome. Sometimes watching legends like Gordan Ramsay, George Calombaris and Matt Preston managing the amateur chefs is just frustrating and painful. Managing a team of chefs, ensure they work together cohesively and efficiently — including team lead appropriately delegating tasks, setting clear expectations and communicating effectively, is not easy. And most importantly, maintaining consistency in the quality and presentation of dishes across all meals is quite difficult. Everything has to just come together well.
Having worked on LLMs and Single Agent frameworks (SAFs) for a while, I can somehow feel the pain of Gordan Ramsey and others more — as these LLMs and SAFs behave somewhat similar manner as some amateur chefs :
- No internal challenge by the agents before giving the output (as the amateur Chefs pass on the raw dishes to Gordan sometimes without internal consents)
- No flexible conversation patterns for complex processes (as amateur chefs don’t…
