Build a Large Language Model (From Scratch)

Learn the foundations of modern generative AI by building a transformer-based language model from the ground up with Build a Large Language Model (From Scratch) by Sebastian Raschka. Designed for machine learning engineers, data scientists, software developers, and AI enthusiasts, this hands-on guide provides a practical, step-by-step approach to understanding how large language models (LLMs) are designed, trained, and deployed using Python and PyTorch.

Starting with the fundamentals of data preparation and tokenization, the book guides readers through neural networks, embeddings, self-attention, transformer architecture, model training, fine-tuning, evaluation, inference, and optimization techniques. Through clear explanations, real-world coding examples, and hands-on projects, readers gain a deep understanding of the core concepts behind today's leading AI systems while learning how to build, train, and customize their own language models from scratch.

Ideal for AI practitioners, machine learning engineers, data scientists, software developers, researchers, and advanced students, Build a Large Language Model (From Scratch) is an essential resource for mastering large language models, natural language processing (NLP), and deep learning. Whether you're expanding your AI expertise, developing intelligent applications, or exploring the technology behind modern generative AI, this practical guide provides the knowledge and hands-on experience needed to build production-ready LLMs with confidence.