Build GPT-2 from Scratch: Architecture, Tokenization, and Training
A first-principles guide to building GPT-2, from tokenization and embeddings to transformer training.
LLM
Deep Learning Explained with Mathematics: From Linear Regression to LLMs
Build deep learning intuition from first principles, progressing from linear models and backpropagation to transformers, diffusion, and LLMs.