
Featuring an in-depth exploration, this book provides a step-by-step guide to building a Large Language Model (LLM) from scratch. Written by a machine learning expert, the content reveals the inner workings of LLMs, breaking down complex concepts into understandable sections. Covering key topics such as data pipelines, model structuring, and fine-tuning techniques, this book equips you with practical insights to create functional AI applications.
Boasting years of experience in AI and machine learning, Sebastian Raschka shares his expertise through this book. As a researcher and educator, his background in deep learning and statistical analysis brings clarity to complex AI subjects. With a passion for open-source software and education, the author presents detailed explanations that help you gain a strong understanding of LLMs and their development process.
Providing a well-structured and accessible layout, this book is written entirely in English for clear comprehension. The language used ensures a smooth reading experience, making technical concepts easier to grasp. Designed for learners, researchers, and professionals, this book provides structured explanations without unnecessary complexity, helping you navigate the world of machine learning with confidence.
Highlighting a sturdy hardcover format, this book offers lasting durability for extended use. The strong binding protects the pages, ensuring the content remains intact even with frequent referencing. Suitable for both study and professional environments, this book is built to withstand regular handling while maintaining a polished and organised appearance on bookshelves.
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