An Introduction to Large Language Models
暫譯: 大型語言模型入門
Dhanith P. R., Joe, S, Geetha, Abdullah a., Sheik
- 出版商: CRC
- 出版日期: 2026-10-30
- 售價: $4,750
- 貴賓價: 9.5 折 $4,512
- 語言: 英文
- 頁數: 342
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041094353
- ISBN-13: 9781041094357
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相關分類:
Large language model、Natural Language Processing
尚未上市，無法訂購
相關主題
商品描述
The book offers an introduction to large language models (LLMs) that bridge foundational natural language processing (NLP) concepts with the advanced techniques underlying large language models. It offers a structured exploration of NLP evolution, from rule- based approaches to transformer architectures. Covering key principles such as tokenization, attention mechanisms, and model architectures (BERT, GPT, T5), the book explains pretraining objectives like masked and causal language modeling. It also addresses optimization techniques such as LoRA, pruning, and quantization for efficient LLM deployment. Multimodal models, including GPT- 4 and PaLM- E, are explored alongside retrieval- augmented generation and AI- powered agents.
Features:
- Discusses foundational NLP concepts, theoretical depth, advanced techniques, and real- world applications.
- Covers perplexity, BLEU, ROUGE, and datasets like SuperGLUE and SQuAD for assessing LLM performance, discusses LoRA, pruning, and quantization to optimize LLM deployment in resource- constrained settings.
- Explores GPT- 4, PaLM- E, and retrieval- augmented generation, expanding beyond traditional NLP models.
- Provides Python implementations for fine- tuning, classification, summarization, and conversational AI tasks.
- Highlights use cases in text generation, code generation, sentiment analysis, and multimodal AI.
This book is an invaluable textbook for students, researchers, and industry professionals seeking a deep technical understanding of LLMs and their applications.
商品描述(中文翻譯)
本書介紹大型語言模型（Large Language Models，LLMs），將自然語言處理（Natural Language Processing，NLP）的基礎概念，與大型語言模型背後所採用的進階技術串聯起來。本書有系統地探討 NLP 的演進，從以規則為基礎的方法，到 Transformer 架構。內容涵蓋 tokenization、attention mechanisms，以及 BERT、GPT、T5 等模型架構等核心原理，並說明 masked language modeling 與 causal language modeling 等預訓練目標。此外，本書也介紹 LoRA、pruning 與 quantization 等最佳化技術，協助有效部署 LLM。書中亦探討包含 GPT-4 與 PaLM-E 在內的多模態模型，以及 retrieval-augmented generation 與 AI 驅動的 agents。
特色：
- 討論 NLP 的基礎概念、理論深度、進階技術與實際應用。
- 涵蓋 perplexity、BLEU、ROUGE，以及 SuperGLUE 和 SQuAD 等用於評估 LLM 效能的資料集；同時介紹 LoRA、pruning 與 quantization，協助在資源受限的環境中最佳化 LLM 部署。
- 探索 GPT-4、PaLM-E 與 retrieval-augmented generation，拓展傳統 NLP 模型以外的應用範疇。
- 提供使用 Python 實作 fine-tuning、分類、摘要與對話式 AI 任務的範例。
- 強調文字生成、程式碼生成、情感分析與多模態 AI 等使用情境。
本書是學生、研究人員與業界專業人士不可或缺的教材，適合希望深入理解 LLM 及其應用技術的人士。
作者簡介
Joe Dhanith P. R. is an Assistant Professor at the Vellore Institute of Technology (VIT), Chennai, with a strong academic and research background in the field of computer science. He has made notable contributions to high- impact journals, particularly in advancing the domains of natural language processing (NLP), web mining, and information retrieval. His research focuses on developing intelligent systems that enhance text understanding, knowledge extraction, and data- driven decision- making. Dr. Joe has been actively involved in mentoring students, guiding research projects, and delivering courses related to programming, machine learning, and deep learning. His work reflects a commitment to bridging theoretical foundations with practical applications, contributing to both academic research and real- world problem solving.
Geetha S. is a Professor and Associate Dean (Research) in School of Computer Science and Engineering, VIT University, Chennai Campus, India. She has received the B.E. and M.E. degrees in Computer Science and Engineering from Madurai Kamaraj University, India and Anna University of Chennai, India, and Ph.D. degree from Anna University, respectively. She has 23 years of rich teaching and research experience. She has published more than 100 papers in reputed International conferences and refereed journals. Her h- Index is 21 and i- 10 index is 46. Her research interests include image processing, deep learning, feature selection, steganography, steganalysis, multimedia security, intrusion detection systems, malware detection, machine learning paradigms, and information forensics. She has given many expert lectures and keynote addresses in international and national conferences. She has organized many workshops, conferences, and FDPs. She is a recipient of University Rank and Academic Topper Award in B.E. and M.E, respectively. She is also the proud recipient of ASDF Best Academic Researcher Award 2013, ASDF Best Professor Award 2014, Research Award 2016- 2020, High Performer Award 2016, from VIT University and DST - ISCA Best Poster Award 2018, Innovation Award 2022 - Cybersecurity Roadshow conducted in IISc.
Sheik Abdullah A. is working as an Associate Professor in the School of Computer Science Engineering, Vellore Institute of Technology, Chennai. He completed his Ph.D. from Anna University. He is a visiting faculty at The Institute of Mathematical Sciences IMSC Chennai and contributed and worked in computational biology, mathematical decision support models in clinical informatics, data analytics, and statistics. He is also a visiting researcher at Chennai Mathematical Institute (CMI) and is engaged in works corresponding to Timed automata and its applications. More recently, he has contributed his novelty in assessing risk factors that contribute to type II diabetes with swarm intelligence and machine learning approaches. His works correspond to real- time analysis of medical data and medical experts with the development of clinical decision support models for hospitals in rural areas. He also contributed his research intelligence in NLP, big data, knowledge- based systems, E- governance, learning analytics, and probabilistic planning algorithms. He has published over 45+ archival research papers to his credit, 15 book chapters, and a book. Being a Gold medalist (PG), he has been awarded the honorable chief minister award for the best project in E- governance.
作者簡介(中文翻譯)
Joe Dhanith P. R. 是 Vellore Institute of Technology (VIT) Chennai 分校的助理教授，在電腦科學領域擁有深厚的學術與研究背景。他對高影響力期刊做出了重要貢獻，尤其致力於推動自然語言處理（Natural Language Processing, NLP）、網頁探勘（web mining）與資訊檢索（information retrieval）等領域的發展。他的研究重點是開發智慧型系統，以提升文本理解、知識擷取與資料驅動的決策能力。Joe 博士積極參與學生指導、研究計畫指導，以及程式設計、機器學習與深度學習相關課程的教學。他的研究與工作展現出結合理論基礎與實務應用的投入，並同時為學術研究及現實世界問題的解決做出貢獻。
Geetha S. 是印度 Chennai 校區 VIT University 電腦科學與工程學院的教授兼研究副院長（Associate Dean (Research)）。她分別於印度 Madurai Kamaraj University 與 Chennai 的 Anna University 取得電腦科學與工程學士（B.E.）及碩士（M.E.）學位，並取得 Anna University 的博士學位。她擁有 23 年豐富的教學與研究經驗，已在知名國際會議及具同儕審查制度的期刊上發表超過 100 篇論文。她的 h-index 為 21，i10-index 為 46。
她的研究興趣包括影像處理、深度學習、特徵選擇、資訊隱藏（steganography）、隱寫分析（steganalysis）、多媒體安全、入侵偵測系統、惡意軟體偵測、機器學習典範，以及資訊鑑識。她曾在許多國際與國內會議中發表專家演講及主題演講，也曾主辦多場工作坊、研討會及教師發展計畫（Faculty Development Program, FDP）。她分別在 B.E. 與 M.E. 求學期間獲得大學排名獎及學業優秀獎。此外，她還獲得 ASDF 2013 年最佳學術研究員獎、ASDF 2014 年最佳教授獎、2016 至 2020 年研究獎、VIT University 2016 年高績效獎，以及 2018 年 DST-ISCA 最佳海報獎；另於 IISc 舉辦的 Cybersecurity Roadshow 中獲得 2022 年創新獎。
Sheik Abdullah A. 目前任職於 Vellore Institute of Technology Chennai 分校電腦科學工程學院的副教授。他於 Anna University 取得博士學位，並擔任 Chennai 數學科學研究院（The Institute of Mathematical Sciences, IMSC）的訪問教師，研究與工作領域涵蓋計算生物學、臨床資訊學中的數學決策支援模型、資料分析與統計學。他同時也是 Chennai Mathematical Institute (CMI) 的訪問研究員，從事與 Timed automata 及其應用相關的研究。
近年來，他運用群體智慧（swarm intelligence）與機器學習方法，創新性地評估導致第二型糖尿病的風險因子。他的研究工作包括醫療資料的即時分析，以及為偏遠地區醫院開發臨床決策支援模型，協助醫療專業人員進行判斷。他也在 NLP、大數據、知識型系統、電子治理（E-governance）、學習分析及機率規劃演算法等領域貢獻研究成果。他已發表超過 45 篇正式研究論文、15 篇書籍章節，並出版一本專著。身為研究所金牌獎得主，他曾因 E-governance 領域的最佳專案獲頒榮譽首席部長獎。
