Coding a ChatGPT-Like Transformer From Scratch in PyTorch

Walk through the process of coding a ChatGPT-like Transformer from scratch using PyTorch in this comprehensive 31-minute video tutorial. Learn how to load necessary modules, create a training dataset, implement position encoding, code attention mechanisms, and build a decoder-only Transformer. Observe the model running untrained before diving into the training process and practical application. Gain insights into the step-by-step implementation with clear explanations of every detail, assuming prior knowledge of decoder-only Transformers, essential matrix algebra for neural networks, and matrix math behind Transformers.

Awesome song and introduction
Loading the modules
Creating the training dataset
Coding Position Encoding
Coding Attention
Coding a Decoder-Only Transformer
Running the model untrained
Training and using the model