MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03685cam a22003495i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-CaNGU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241009125007.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230829t2023 sz a fob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031231902 |
| 040 ## - CATALOGING SOURCE |
|---|
| Modifying agency |
WaSeSS |
| -- |
EG-CaNGU |
| Original cataloging agency |
WaSeSS |
| Language of cataloging |
eng |
| Transcribing agency |
EG-CaNGU |
| Description conventions |
rda |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Paaß, Gerhard, |
| Relator term |
author. |
| 9 (RLIN) |
5562 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Foundation models for natural language processing : |
| Remainder of title |
pre-trained language models integrating media / |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham, Switzerland : |
| Name of producer, publisher, distributor, manufacturer |
Springer, Springer Nature, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2023] |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (xviii, 436 pages) : |
| Other physical details |
illustrations. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Artificial intelligence : foundations, theory, and algorithms, |
| International Standard Serial Number |
2365-306X |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 00 - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1. Introduction -- 2. Pre-trained Language Models -- 3. Improving Pre-trained Language Models -- 4. Knowledge Acquired by Foundation Models -- 5. Foundation Models for Information Extraction -- 6. Foundation Models for Text Generation -- 7. Foundation Models for Speech, Images, Videos, and Control -- 8. Summary and Outlook. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE |
|---|
| Terms governing access |
Available on-campus and off-campus.<br/> |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Natural language processing (Computer science). |
| Source of heading or term |
NGU-sh |
| 9 (RLIN) |
5563 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computational linguistics. |
| Source of heading or term |
NGU-sh |
| 9 (RLIN) |
5564 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence. |
| Source of heading or term |
NGU-sh |
| 9 (RLIN) |
4811 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Expert systems (Computer science). |
| Source of heading or term |
NGU-sh |
| 9 (RLIN) |
3174 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| Source of heading or term |
NGU-sh |
| 9 (RLIN) |
3897 |
| 655 #7 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books |
| Source of term |
NGU-sh |
| 9 (RLIN) |
1203 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Giesselbach, Sven, |
| Relator term |
author. |
| 9 (RLIN) |
5565 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Host name |
Online resource. |
| Uniform Resource Identifier |
<a href="https://link.springer.com/book/10.1007/978-3-031-23190-2">https://link.springer.com/book/10.1007/978-3-031-23190-2</a> |
| Public note |
Online resource. |