#JARVIS

The project investigates artificial general intelligence by conducting advanced research and features a collaborative system where language models act as controllers for expert models. Recent releases include Easytool and TaskBench, which aid in interaction simplification and task automation benchmarking for large language models (LLMs). This effort, supporting platforms such as OpenAI's GPT-4 on Azure and integrating with Langchain, eases deployment with tools like Gradio, CLI, and web interfaces. It emphasizes task planning, model selection, execution, and response generation, contributing to AI problem-solving advancements.

This project delivers a voice-activated assistant integrating Deepgram's voice-to-text and ElevenLabs' text-to-speech with OpenAI's GPT-3 for dynamic responses. Accessible via a web interface, it appeals to AI enthusiasts and developers. Requires Python 3.8-3.11 and API keys for setup, offering straightforward installation for efficient voice interaction.