About this Video

• Video Title: Local Talking LLM - Jarvis mark1 Speech | Whisper STT - Ollama - Chatterbox TTS
• Channel: Noob ML Dude
• Speakers: One (The video creator/presenter)
• Duration: 00:14:59

Introduction

This video demonstrates building a local, private AI assistant using open-source tools. The creator builds a "Jarvis"-like system combining Whisper for speech-to-text, Ollama for the language model, and Chatterbox for text-to-speech, running entirely on a personal computer.

Key Takeaways

• A functional local AI assistant was created using Whisper, Ollama, and Chatterbox, eliminating the need for cloud services.
• The system's pipeline involves speech input, transcription using Whisper, language model processing via Ollama (using Langchain), and speech synthesis with Chatterbox.
• The project requires setting up a Python environment (Python 3.11 or greater), installing dependencies using uv, and selecting an Ollama model (e.g., gamma 3 4B).
• System prompts can be adjusted to control response length and style. Shorter prompts result in quicker responses.
• The creator successfully interacts with the AI assistant, demonstrating its ability to answer questions and generate responses based on the input speech.