Build a GPT Model With Me From Scratch (Part 2) | PyTorch Tutorial

In this video, we start building a GPT language model from scratch in Python using PyTorch. Step by step, we go from preparing the Shakespeare dataset to creating a tokenizer, dataset pipeline, and even coding the causal self-attention mechanism — the heart of GPT models. If you’ve ever wondered how GPT-style models like ChatGPT actually work under the hood, this tutorial will walk you through the entire process in simple, beginner-friendly terms. 🛠️ Useful Links VS Code Download (IDE): https://code.visualstudio.com/download SentencePiece Tokenizer Docs: https://github.com/google/sentencepiece 📢 Support & Community 👍 If you found this helpful, please Like, Subscribe, and hit the 🔔 bell so you don’t miss the next video. 💬 Drop a comment below if you’re coding along — I’d love to see your outputs and answer your questions!