Build a Large Language Model from Scratch

Build a Large Language Model from Scratch is a comprehensive guide to creating a state-of-the-art language model using the latest techniques in natural language processing (NLP). Raschka introduces readers to the fundamentals of language modeling, covering topics like tokenization, word embeddings, and recurrent neural networks. The book explores advanced NLP concepts, including transformer architectures, attention mechanisms, and transfer learning, providing readers with the knowledge and tools to build cutting-edge language models. Raschka also discusses best practices for training, fine-tuning, and evaluating language models, offering practical advice on optimizing performance and addressing common challenges. By combining theoretical insights with hands-on examples, the book equips readers with the skills to develop sophisticated language models that can be applied to a wide range of NLP tasks.