Build a Large Language Model (From Scratch)

About

A guide to building your own working LLM, by Sebastian Raschka.

• Complete Python + PyTorch implementation of GPT (multi-head attention, transformer blocks, etc.).
• Step-by-step building process from raw text preprocessing to model training and evaluation.
• Detailed explanation of key mathematical concepts (attention scores, cross-entropy, layer normalization).
• Comparison with large foundation models: scaling laws, data size, training compute trade-offs.
• Bonus chapters on fine-tuning for instruction following and text classification tasks.