
Large Language Models
Stephan Raaijmakers(Author)
MIT Press
Published on 28. October 2025
Book
Paperback/Softback
192 pages
978-0-262-55269-1 (ISBN)
Description
An in-depth history of Large Language Models and what their ubiquity, disruption, and creativity mean from a wider sociopolitical perspective. In November 2022, ChatGPT swept the globe with a mixed frenzy of excitement and anxiety. Was this a step closer to reaching singularity or just another marvel in machine learning? Author Stephan Raaijmakers provides a comprehensive introduction to Large Language Models (LLMs), describing what exactly they are capable of from a technical and creative standpoint. This concise volume covers everything from the architecture of LLM neural networks to the limitations of LLMs to how our governments can regulate this technology. In explaining how exactly LLMs learn from data sets, Raaijmakers defangs the more sensational arguments we may be familiar with. Instead, he offers a more grounded approach to how this groundbreaking and increasingly ubiquitous form of artificial intelligence will shape our society for years to come.
More details
Language
English
Place of publication
Cambridge (Massachusetts)
United States
Publishing group
MIT Press Ltd
Target group
Professional and scholarly
Product notice
Paperback (trade)
Illustrations
46 BLACK AND WHITE ILLUS.
Dimensions
Height: 176 mm
Width: 127 mm
Thickness: 22 mm
Weight
250 gr
ISBN-13
978-0-262-55269-1 (9780262552691)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Person
Stephan Raaijmakers is Senior Scientist at TNO and Professor of Communicative AI at Leiden University (LUCL).
Content
Series Foreword
1. Large Language Models
2. Language as a Computational Phenomenon
3. The Architectures of Large Language Models
4. Learning from Humans
5. Abilities and Limitations of LLMs
6. Are LLMs Creative?
7. Practical Opportunities
8. Societal Risks and Concerns
9. Governance and Regulation
10. What's Next?
Appendix
References
Notes
Index
1. Large Language Models
2. Language as a Computational Phenomenon
3. The Architectures of Large Language Models
4. Learning from Humans
5. Abilities and Limitations of LLMs
6. Are LLMs Creative?
7. Practical Opportunities
8. Societal Risks and Concerns
9. Governance and Regulation
10. What's Next?
Appendix
References
Notes
Index