Hands-on large language models : (Record no. 752953)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03365cam a22003977i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781098150969 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1098150961 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Alammar, Jay |
| 245 10 - TITLE STATEMENT | |
| Title | Hands-on large language models : |
| Sub Title | language understanding and generation / |
| Statement of responsibility, etc | Jay Alammar and Maarten Grootendorst. |
| 246 3# - VARYING FORM OF TITLE | |
| Title proper/short title | Hands-on LLM |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai : |
| Name of publisher | O' reilly, |
| Year of publication | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xix, 403 p., |
| Other physical details | illustrations (some color) ; |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Part 1. Understanding language models. An introduction to Large Language Models -- Tokens and embeddings -- Looking inside Large Language Models -- Part 2. Using pretrained language models. Text classification -- Text clustering and topic modeling -- Prompt engineering -- Advanced text generation techniques and tools -- Semantic search and retrieval-augmented generation -- Mulitimodal Large Language Models -- Part 3. Training and fine-tuning language models. Creating text embedding models -- Fine-tuning representation models for classification -- Fine-tuning generation models. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Through his book's visually educational nature, readers will learn practical tools and concepts they need to use these capabilities today. You'll understand how to use pretrained language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; and use existing libraries and pretrained models for text classification, search, and clusterings. This book also helps you: Understand the architecture of transformer language models that excel at text generation and representation ; Build advanced LLM pipelines to cluster text documents and explore the topics they cover ; Build semantic search engines that go beyond keyword search, using methods like dense retrieval and rerankers ; Explore how generative models can be used, from prompt engineering all the way to retrieval-augmented generation ; Gain a deeper understanding of how to train LLMs and optimize them for specific applications using generative model fine-tuning, contrastive fine-tuning, and in-context learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Natural language generation (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Natural language processing (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Software engineering. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Generative programming (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Application software |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Génération automatique de texte. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Intelligence artificielle |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Traitement automatique des langues naturelles. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Apprentissage automatique. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Génie logiciel. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Intelligence artificielle |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Programmation générative. |
| 650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Logiciels d'application |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Grootendorst, Maarten, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home Library | Current Location | Date acquired | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Dept. of Computer Science | Dept. of Computer Science | 06/11/2025 | 006.3 ALA/H | DCS5223 | 06/11/2025 | Book |