株式会社極東書店トップ ＞ 商品一覧 ＞ An Introduction to Large Language Models.
商品詳細
An Introduction to Large Language Models.
・ISBN 978-1-041-08627-7 paper GB£ 54.99
￥17,420.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Dhanith P. R., Joe / S., Geetha / Abdullah A., Sheik, |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 336 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-72911＞ |
解説
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.