LLMs from Scratch is an educational repository accompanying Sebastian Raschka's material on implementing a GPT-style large language model from first principles. It walks through the main components of an LLM, including tokenization, attention, transformer blocks, pretraining, fine-tuning, and evaluation, with code intended to make the underlying mechanics understandable rather than hidden behind a high-level framework.

The project is aimed at readers who want a deeper technical understanding of how language models work internally. By building the pieces step by step, it helps learners connect the mathematics and architecture of transformers with practical PyTorch implementations and provides a useful bridge between introductory machine-learning knowledge and modern LLM engineering.