This repo will be helpful in understanding AutoGen providing examples including prompts and agents for SAAS products, how AutoGen works, and diving into the functionality.
- MemGPT has been updated recently and if we don't use
memgpt configureto set the openai_key, then it won't work with OpenAI API. I opened issue here: https://github.com/tylerprogramming/ai/issues/1 - issues with function calling connected with LM Studio. GPT function calling works, but as soon as the config is swapped for localhost to LM Studio, they are ignored
- NEED to make sure that if using LM Studio, set the UserAgent to have a default auto reply to "..." or something. LM Studio complains about this because of the interaction\
- FFMPEG: must be installed to use Whisper AI
- GPT-4 Vision with AutoGen
- AutoGen with CodeInterpreter
- AutoGen with TeachableAgent (uses Vector DB to remember conversations)
- Auto Generated Agent Chat: Hierarchy flow using select_speaker
- AutoGen Teams, actually creating separate teams that each do a specific thing and pass on what they accomplished to the next one
- Combining GPT-4 Vision with a library that can take a screenshot of a website, perhaps with stocks for example, and examine it
- Create a Sudoku Puzzle Creator/Checker with an AI WorkForce
- Create WebScraper with Puppeteer
- Create AutoGen with Whisper
- Fitness Tracker with multiple models and LMStudio for LocalLLM
- Fitness Expert Bot with Flask Server
- YouTube Services
- Beginner Course
- Intermediate Course
- Advanced Course