Here is How You Create AI Operating System from Scratch

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AI Summary

Summary: LLM OS Overview and Setup

• Introduction to LLM OS:
  • Proposed by Andrej Karpathy.
  • Large Language Model (LLM) acts as an operating system.
  • Central orchestrator with access to various tools and other LLMs.
  • Handles input/output in video or audio (future goal).
• Modifications and Tools:
  • Using GPT-4 as the LLM.
  • Tools include a calculator, Python terminal, AI agents, internet access, and memory storage.
• Functionality:
  • LLM OS uses tools to respond to user queries.
  • Can perform tasks like investment analysis, calculations, and system checks.
• Building LLM OS:
  • From scratch, with a user interface providing access to all tools and agents.
  • Adding URLs to the knowledge base for data retrieval.
  • Example use cases: retrieving AI news, investment advice, mathematical calculations, and system status checks.
• Technical Setup:
  • Installation of necessary packages.
  • Configuration of OpenAI API key and PostgreSQL database.
  • Creation of app.py with imports and setup for tools, agents, LLM OS agent, and knowledge base.
  • Functions to add documents to the knowledge base and to handle user questions.
  • Running the application and interacting with the user interface.
• User Interface Creation:
  • Cloning a GitHub repository and installing requirements.
  • Setting up API keys and running the Streamlit app.
  • Demonstrating the addition of data to the knowledge base and querying the LLM OS.
• Conclusion:
  • The video tutorial covers the complete process of setting up LLM OS.
  • Encourages viewers to like, share, subscribe for more AI-related content.