What is AutoGen? Step By Step Tutorial with CODE and Use cases!

AutoGen is a framework that enables development of LLM applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They can operate in various modes that employ combinations of LLMs, human inputs, and tools.

AutoGen makes it easy to create advanced language models (LLM) applications by simplifying the process of managing complex conversations between multiple agents. It helps with organizing, automating, and optimizing the workflow of these language models. This tool boosts the performance of LLM models and helps overcome their limitations.

AutoGen supports various conversation patterns, allowing developers to create diverse and customizable interactions between agents. These patterns include aspects like conversation autonomy, the number of agents involved, and the structure of agent conversations.

The tool comes with pre-built systems of different complexities that cover a wide range of applications from various domains. These systems serve as examples to demonstrate how AutoGen can be used to support different conversation patterns easily.

AutoGen can be seamlessly used as a replacement for openai.Completion or openai.ChatCompletion, offering an enhanced inference API. This replacement allows for straightforward performance tuning and provides useful utilities like API unification, caching, and support for advanced usage patterns such as error handling, multi-config inference, and context programming.

GitHub Link Of All code mentioned in this Video

Chapters
00:00 - Introduction and Index
00:23 - What exactly is Autogen?
01:14 - Basic Example of 2 Agent Conversation System
02:17 - Architecture of 2 Agent System to Create Stock Price Graph
02:36 - Coding 2 Agent System to Create Stock Price Graph using Autogen
04:43 - Starting the conversation between 2 Agents for Stock Price Graphs
06:25 - Output of Stock Price Graphs
06:42 - Modifying Stock Price Graphs based on our requirements
07:37 - Coding Multiple Agents System using GroupChat Manager to Build Snake Game
10:09 - Starting conversation between multiple agents to Build Snake Game
10:52 - Yayy!! We successfully created the Snake Game using Autogen!!

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