This repository contains a step-by-step implementation of the Transformer model, the neural network architecture that powers modern large language models. Built in PyTorch as a Jupyter Notebook, it serves as a learning resource for understanding self-attention mechanisms, encoder-decoder structures, and positional encodings. The implementation is accompanied by a YouTube walkthrough video.