How To Use AutoGen With ANY Open-Source LLM for Free
In this video, the presenter demonstrates how to run AutoGen agents for free using Python and LM Studio, and shares three secrets to streamline projects and cut costs. AutoGen agents can manage tasks typically done by customer support staff, such as responding to chats and email inquiries. The video provides a step-by-step guide to setting up AutoGen with local language models, specifically using LM Studio to run models like Mistral Instruct 7B.
Key points include:
1. **Introduction to AutoGen**: AutoGen agents can automate tasks like customer support, but using them with models like GPT-4 can be costly. The video explores using free, open-source alternatives like Llama 2.
2. **Setting Up the Environment**: Instructions are provided for creating a virtual environment, installing AutoGen, and setting up the configuration for language models.
3. **Creating and Configuring Agents**: The presenter shows how to create assistant agents (Bob and Alice) and a user proxy, and how to set up the group chat and group chat manager.
4. **Using LM Studio**: The video explains how to download and test language models using LM Studio, and how to use its API endpoints with AutoGen.
5. **Switching to Local Models**: The presenter demonstrates how to switch from using GPT-3.5 Turbo to a local Llama 2 model in LM Studio, and how to handle issues like agent selection errors.
6. **Adapting Prompts for Local Models**: The video highlights the need to adapt prompts for less powerful local models to achieve desired results.
The video concludes by encouraging viewers to try using AutoGen with local models to reduce costs and improve efficiency.