Build an LLM from Scratch 1: Set up your code environment

In this coding along video, Sebastian Raschka introduces a supplementary resource for his book, "Build a Large Language Model from Scratch," and outlines the plan to create videos for each chapter, offering casual takes on code examples. He focuses on setting up a Python environment for chapters 2-7, recommending the uv package manager for its speed and efficiency, and guides viewers through installing Python, creating virtual environments, and managing packages using uv-pip. He also suggests alternative cloud resources like Lightning Studio and Google Colab for those facing local setup issues, and addresses potential TensorFlow installation problems on Windows, providing solutions and workarounds.