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大语言模型基础（Foundations of Large Language Models）
arXiv:2501.09223 是一本关于大语言模型的基础性书籍，作者为 Tong Xiao 与 Jingbo Zhu，v1 于 2025 年 1 月 16 日提交，v3 于 2026 年 9 月 24 日修订。全书分六章，分别覆盖预训练、生成模型、提示、对齐、推理与推理能力，定位为面向高校学生、NLP 从业者的基础参考书，而非全面覆盖前沿技术。
AI推荐理由 arXiv 上的 LLM 基础教材，v3 修订版（2026-09-24），结构覆盖预训练、生成模型、提示、对齐、推理与推理能力六大章节，面向学生与 NLP 从业者。属于系统性教学资料而非新研究突破，信息密度中等，对入门与教学有参考价值，但缺少新方法或实验证据，因此兴趣分不高。
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Computer Science > Computation and Language
arXiv:2501.09223 (cs)
[Submitted on 16 Jan 2025 (v1), last revised 24 Sep 2026 (this version, v3)]
Title:Foundations of Large Language Models
Authors:Tong Xiao, Jingbo Zhu
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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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Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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arXiv:2501.09223 [cs.CL]
(or
arXiv:2501.09223v3 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2501.09223
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arXiv-issued DOI via DataCite
Submission history
From: Tong Xiao [view email]
[v1]
Thu, 16 Jan 2025 01:03:56 UTC (361 KB)
[v2]
Sun, 15 Jun 2025 13:24:11 UTC (514 KB)
[v3]
Thu, 24 Sep 2026 15:06:31 UTC (942 KB)
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