visual-chatgpt VS lingfo

For prompting, the GitHub repo I refer to the most is actually one from Microsoft: https://github.com/Microsoft/Visual-ChatGPT

Found relevant code at https://github.com/microsoft/visual-chatgpt + all code implementations here

Github: https://github.com/microsoft/visual-chatgpt/tree/main/LowCodeLLM will soon be available!

It's not so much the size of the LLMs, it's what people are able to do with them in novel ways, e.g. https://github.com/microsoft/visual-chatgpt/tree/main/TaskMatrix.AI

There is a python library langchain, which microsoft used to give it access to image editing tools. You can write your own tools for it very easily, I've been having fun with it. I gave it internet search tools and it worked great at using current events in the response.

Something like this: https://github.com/microsoft/visual-chatgpt/tree/main/TaskMatrix.AI could enable a far simpler AI to start making copies of itself.

Reminds me of VisualChatGPT (https://github.com/microsoft/visual-chatgpt), which also uses a LLM to decide what vision models to run.

The best Microsoft API or overall API? It really depends what your goal is. https://github.com/huggingface is great if you want to dive right in, but https://github.com/microsoft/visual-chatgpt might be good as well (not easy to get to work locally).

If you are interested in lingfo, get started here: https://github.com/lingfo/lingfo https://lingfo.github.io/docs/main/

Sounds interesting? Give lingfo a star and try it now here: https://github.com/lingfo/lingfo Examples: https://github.com/lingfo/lingfo/tree/main/examples Documentation: https://lingfo.github.io/docs/

ready to try sushi? examples: https://github.com/dev-sushi/sushi/tree/main/examples repository: https://github.com/dev-sushi/sushi documentation: https://dev-sushi.github.io/docs/main/

What changed: Starting with the main change: Documentation. It is hosted here. It was the main feature requested from the last post. Next, is also a big change: Less config. Sushi now uses tree sitter as a function parser to remove old regex parsing, which was hard to configure. The only down side with that is first time configuration is now slowed down by a lot. There are also some minor changes like git tracking, but I'm trying to keep it short. Here is the full changelog.

The inspiration came from another project I submitted a few PRs to, sushi. It's another library to run functions from foreign languages within Python. Check it out, it's pretty cool.