Large Language Models and Prompt Engineering
A Comprehensive Guide with Practical Applications
-
GET 10% OFF
- Publisher's listprice GBP 54.99
-
24 827 Ft (23 645 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 2 482 Ft off)
- Discounted price 22 345 Ft (21 281 Ft + 5% VAT)
22 345 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 19 October 2026
- ISBN 9781041041160
- Binding Paperback
- No. of pages238 pages
- Size 246x174 mm
- Language English
- Illustrations 72 Illustrations, black & white; 67 Halftones, black & white; 5 Line drawings, black & white; 9 Tables, black & white 700
Categories
Short description:
This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.
MoreLong description:
This book provides a structured and accessible introduction to the theory, design, and real-world use of large language models (LLMs). As generative AI systems become embedded across industries, this book offers readers a balanced perspective that combines technical foundations with practical guidance and critical reflection.
Beginning with the fundamentals of LLMs and prompt engineering, this book progressively explores advanced prompting techniques, application and interaction frameworks, and the underlying architectures that power modern language models. Dedicated chapters examine how LLMs are being applied in high-impact domains such as healthcare, customer support, and education, highlighting design principles, implementation considerations, and illustrative case studies. The book also addresses model fine-tuning, evaluation methods, and the ethical, social, and regulatory challenges associated with deploying LLMs at scale.
This book supports readers in:
· Understanding prompt engineering strategies and application frameworks
· Gaining insight into contemporary LLM architecture and capabilities
· Designing and evaluating LLM-based systems across real-world domains
· Considering ethics, safety, and human-centered aspects of LLM deployment
This book is a practical, accessible resource for those seeking to work thoughtfully and responsibly with LLMs in both academic and applied settings.
MoreTable of Contents:
Preface
About the Authors
Chapter 1. Introduction
Chapter 2. Prompting Techniques for Large Language Models
Chapter 3. Prompting and Applications Frameworks
Chapter 4. Architectures of Large Language Models
Chapter 5. LLMs in Healthcare: Transforming Patient Care With AI
Chapter 6. LLMs in Customer Support: From Knowledge Automation to Personalized, Emotion-Aware Service
Chapter 7. LLMs in Education: Design Principles and Applications
Chapter 8. Fine-Tuning and Evaluation of LLMs
Chapter 9. Ethical Considerations and Future Trends
Index
More
