How to Use ANY Local Open-Source LLM with AutoGen in 5 MINUTES!

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AI Summary

LM Studio Tutorial Summary

• Introduction to using LM Studio for local LLMs
• Steps to set up and use LM Studio:
  1. Download LM Studio from the website.
  2. Install and launch LM Studio.
  3. Download a desired model from the homepage or search for models using the search bar.
  4. Start the local server by selecting a model and clicking ‘Start server’.
  5. Copy the base URL for agent workflow integration.
• Coding with LM Studio:
  1. Create a main Python file and an OpenAI config list JSON file.
  2. In the JSON file, include the base URL (API key and model name are not required).
  3. Install pyautogen library via pip.
  4. Set up the workflow in the main Python file with autogen and the config list.
  5. Configure the assistant agent, user proxy agent, and code execution settings.
  6. Run the script to generate a function through the assistant agent.
• Additional Information:
  • LM Studio allows for the use of open-source models from Hugging Face in workflows.
  • Function calling may not work with local LLMs, only with the OpenAI API.
  • The creator is sharing daily videos for the month, inviting viewers to like and subscribe.

Additional Notes

• The tutorial demonstrates how to replace the use of an API key and model with a local LLM using LM Studio.
• Other software libraries can be used similarly, with different URLs for model integration.
• The video aims to provide daily content on autogen and AI.