RTX: NVIDIA’s Personalized Chatbot

Nvidia just released “Chat with RTX” a local app that allows you to create a personal AI chatbot (LLM) based on your own content. 

Rather than searching through notes or saved content, users can simply type queries. For example, one could ask, “What was the restaurant my partner recommended while in Las Vegas?” and Chat with RTX will scan local files the user points it to and provide the answer with context.

Key Features:

• Retrieval-Augmented Generation (RAG): Uses Mistral or Llama 2 LLMs for text generation, accelerated by TensorRT-LLM for faster response times.

• Local Processing: Runs entirely on an RTX 30/40 GPU (≥8GB VRAM) and Windows PC, avoiding cloud latency and privacy concerns.
  
• Data Ingestion: Supports various formats like txt, pdf, docx, and xml, alongside YouTube video transcripts

Potential Applications:

• Data research: Analyze personal documents, transcripts, or videos for specific information with near-instant results.
  
• Content summarization: Quickly grasp key points from YouTube videos or lengthy documents.
  
• Fact-checking: Verify data points within PDFs or other sources.

Current Limitations:

• Early Demo: Known issues include inaccurate source attribution, context-free responses, and crashes with large datasets.
  
• Resource Intensive: Installation requires 40GB disk space and consumes ~3GB RAM, potentially impacting system performance.