Create AI Operating System from Scratch with GPT-4
In the video titled ‘Here is How You Create AI Operating System from Scratch’ by Mervin Praison, viewers are guided through the process of building a Large Language Model Operating System (LLM OS) using GPT-4. Inspired by Andrej Karpathy’s proposal, this tutorial demonstrates how to set up an advanced LLM OS that integrates various tools and multi-agents to enhance functionality and efficiency.
Key points include:
1. **Introduction to LLM OS**: The video begins by explaining the concept of LLM OS, where a large language model acts as a central orchestrator, accessing tools like calculators, Python interpreters, browsers, file systems, and other AI agents.
2. **Setting Up GPT-4**: Mervin shows how to set up GPT-4 as the core LLM, which will manage and utilize various tools and agents to perform tasks.
3. **Integrating Tools and Multi-Agents**: The tutorial covers the integration of different tools such as calculators, shell tools, and browsing capabilities. It also demonstrates how to set up multi-agents like investment assistants and research assistants to handle specialized tasks.
4. **Creating Knowledge Base and Memory**: The video explains how to create a knowledge base and memory system to store and retrieve information efficiently. This includes setting up a PostgreSQL database for storage.
5. **User Interface Setup**: Mervin provides a step-by-step guide on building a user-friendly interface using Streamlit, allowing users to interact with the LLM OS easily.
6. **Testing the LLM OS**: The tutorial concludes with testing the LLM OS by uploading a PDF, asking various queries, and demonstrating how the system uses the integrated tools and agents to provide accurate responses.
The video provides a comprehensive guide to building a powerful and versatile LLM OS from scratch, showcasing the potential of integrating AI with various tools to automate complex tasks and improve efficiency.