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JARVIS

24,342
2,047
Python

Project Description

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

JARVIS: JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Project Title

JARVIS — Bridging Large Language Models with the AI Community for Advanced Task Automation

Overview

JARVIS is a pioneering system designed to connect Large Language Models (LLMs) with the broader machine learning community, facilitating the exploration of artificial general intelligence (AGI). It stands out by integrating an LLM as a controller with numerous expert models as collaborative executors, streamlining complex AI tasks into a four-stage workflow: Task Planning, Model Selection, Task Execution, and Response Generation.

Key Features

  • Integration of LLMs with HuggingFace Hub's expert models
  • Four-stage workflow for task automation: planning, selection, execution, and response
  • Support for OpenAI service on Azure platform and GPT-4 model
  • Gradio demo and web API for task and result management in server mode
  • CLI mode for lightweight local endpoint configuration

Use Cases

  • Researchers and developers leveraging LLMs to automate complex AI tasks
  • Enterprises looking to enhance their AI capabilities with LLM-based solutions
  • Educational institutions using JARVIS for teaching AGI concepts and applications

Advantages

  • Facilitates the connection between LLMs and various AI models for solving intricate tasks
  • Provides a structured approach to task automation with a clear workflow
  • Offers flexibility with different modes of operation, from lite to full-scale deployments

Limitations / Considerations

  • High VRAM and RAM requirements for full-scale deployment
  • The system's complexity may require significant setup and configuration efforts
  • Dependence on external platforms like HuggingFace Hub for model execution

Similar / Related Projects

  • LangChain: A library for building LLM-based applications, differing in its focus on modular components.
  • OpenAI API: Provides access to GPT models, but lacks the integrated workflow approach of JARVIS.
  • Hugging Face Transformers: Offers a wide range of pre-trained models, but does not include the task automation workflow that JARVIS provides.

Basic Information


📊 Project Information

  • Project Name: JARVIS
  • GitHub URL: https://github.com/microsoft/JARVIS
  • Programming Language: Python
  • ⭐ Stars: 24,338
  • 🍴 Forks: 2,048
  • 📅 Created: 2023-03-30
  • 🔄 Last Updated: 2025-09-07

🏷️ Project Topics

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Project Information

Created on 3/30/2023
Updated on 9/8/2025