visual-chatgpt VS JARVIS

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).

Jarvis: github.com/microsoft/JARVIS

You can build it yourself now. https://github.com/microsoft/JARVIS

https://github.com/microsoft/JARVIS (when ready says >=24GB VRAM)

Can be. There are projects that run fully locally like Microsoft’s Jarvis. https://github.com/microsoft/JARVIS

JARVIS, a system to connect LLMs with ML community (https://github.com/microsoft/JARVIS)

HuggingGPT is a clever idea to boost the capabilities of LLM Agents, and enable them to solve “complicated AI tasks with different domains and modalities”. In short, it uses ChatGPT to plan tasks, select models from Hugging Face (HF), format inputs, execute each subtask via the HF Inference API, and summarise the results. JARVIS tries to generalise this idea, and create a framework to “connect LLMs with the ML community”, which Microsoft Research claims “paves a new way towards advanced artificial intelligence”.