Run AI models locally without an expensive GPU

Learn how to run state-of-the-art AI models completely free on your local machine - no expensive GPU required! In this step-by-step tutorial, I'll show you how to set up your own local AI lab environment using Docker. 🎓 Want to join the growing AI job market? Join my free community to learn AI development beyond the hype: https://www.skool.com/ai-programmers-club-7881 You will learn: - How to configure Docker for running AI models without a GPU - Setting up a lightweight but powerful 3GB language model - Running AI completions locally without any cloud costs - Properly formatting prompts for consistent results Minimum requirements are a relatively modern CPU with 4 cores and 16gb of RAM. That's all! You can try make it work on lesser hardware too. You can find the Python script and Docker setup files here: https://github.com/Zenulous/your-ai-lab ⌛ Timestamps: 0:00 Introduction & Value Proposition 0:31 Docker Setup & Model Selection 2:51 Configuring model parameters 4:46 Calling the AI model 🔧 Technology Stack References: https://www.docker.com/ https://huggingface.co/