Foundations of Large Language Models

这本书是关于大型语言模型的。如标题所示，本书主要关注基础概念，而不是全面涵盖所有前沿技术。全书分为四个主要章节，每一章探讨一个关键领域：预训练、生成模型、提示技术以及对齐方法。本书面向自然语言处理及相关领域的大学生、专业人士和从业者，并可作为对大型语言模型感兴趣的任何人的参考读物。

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 four main chapters, each exploring a key area: pre-training, generative models, prompting techniques, and alignment methods. 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.