prompt-engineering VS JARVIS

DeepLearning.AI Prompt engineering Learn Prompting

For engineers in the context of prompt engineering, there are a few decent options, like ChatGPT Prompt Engineering for Developers - DeepLearning.AI for example. But it seems you didn't ask for that.

ChatGPT Prompt Engineering for Developers: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

ChatGPT Prompt Engineering for Developers - DeepLearning.AI

Ideally, anyone interested in should take a course of prompt engineering to learn how to use assistant properly (for example here) as to make full use of the increased productivity.

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”.