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.

Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

arXiv:2501.09223 [cs.CL]

(or arXiv:2501.09223v3 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2501.09223 Focus to learn more arXiv-issued DOI via DataCite

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