- ホーム
- > 洋書
- > 英文書
- > Computer / Languages
Full 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.
Contents
Preface
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 Large Language Models
Chapter 9. Ethical Considerations and Future Trends
