babyagi-asi VS JARVIS

if you know how to code yes. BabyAGI with Langchain https://youtu.be/DRgPyOXZ-oE

BASI is an agent that learns from tasks performed and uses tools through python code. Forked from babyagi.

This is a modified version of babyagi, without "memory" yet but with real ability to perform the tasks: https://github.com/oliveirabruno01/babyagi-asi

Anyone interested in an interestingly well working branch of BabyAGI? https://github.com/oliveirabruno01/babyagi-asi

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”.