Foundations of Large Language Models
Abstract
This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into six main chapters, each exploring a key area: pre-training, generative models, prompting, alignment, inference, and reasoning. It is intended for college students, professionals, and practitioners in natural language processing and related fields, and can serve as a reference for anyone interested in large language models.
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Foundations of Large Language Models is an introductory book covering pre-training, generative models, prompting, alignment, inference, and reasoning. It presents the foundational concepts and methods behind LLMs for students, researchers, and practitioners.
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already a classics. Thanks for update 😎
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