Foundations of Large Language Models (arxiv.org)

A new book titled "Foundations of Large Language Models" has been released, focusing on the essential concepts underlying large language models (LLMs). This work is structured into six comprehensive chapters, covering pivotal topics such as pre-training, generative models, prompting, alignment, inference, and reasoning. Aimed at college students, professionals, and practitioners in natural language processing and related fields, the book serves as a valuable resource and reference for those interested in the foundational aspects of LLMs without delving into the latest cutting-edge technologies. This publication is significant for the AI/ML community as it offers a solid groundwork for understanding the mechanics of LLMs, which are increasingly prominent in various applications, from chatbots to content generation. By emphasizing foundational techniques, the book equips readers with the necessary knowledge to engage critically with advanced LLM topics and future innovations in the field. Its structured approach makes it an accessible yet informative guide for anyone looking to enhance their expertise in natural language processing and the burgeoning realm of artificial intelligence.