JARVIS: Advancing AGI Research Through Collaborative AI Systems
Introduction
JARVIS is an AI system exploring AGI by integrating ChatGPT with HuggingFace models. It analyzes user requests, plans tasks, selects appropriate models, executes them, and generates comprehensive responses, advancing AI research and problem-solving capabilities.
Key Features
- Collaborative AI Architecture: Integrates large language models (LLMs) with specialized expert models from the HuggingFace Hub.
- Four-Stage Workflow:
- Task Planning: ChatGPT analyzes user requests.
- Model Selection: ChatGPT selects appropriate expert models from HuggingFace.
- Task Execution: Selected models are invoked and executed.
- Response Generation: ChatGPT integrates predictions from all models.
Applications and Benefits
- Advanced Problem-Solving: Tackle complex AI challenges.
- Research Acceleration: Contribute to AGI research.
- Versatility: Address a wide range of tasks.
- Scalability: Easily integrate new models and capabilities.
Technical Insights
JARVIS is built on the HuggingGPT framework, using language as an interface to connect and orchestrate multiple AI models effectively.
