MicroGPT explained interactively
Summary
The article walks through a micro GPT implementation from scratch, explaining dataset, tokenization, softmax, backpropagation, embeddings, attention, and a training loop. It provides an interactive, beginner-friendly primer on how LLMs work and how a simple model can generate plausible names.