ChatGPT: Principles and Architecture - Softcover

Cheng

Softcover

ISBN 10: 0443274363 ISBN 13: 9780443274367

Publisher: Elsevier, 2025

Synopsis

ChatGPT: Principles and Architecture bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to effectively leverage these technologies in their respective fields. In addition, it tackles the complexity of understanding large language models and their practical applications by demystifying underlying technologies and strategies used in developing ChatGPT and similar models. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, thus paving the way for innovative applications and solutions in their professional domains.

Sections focus on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. It is ideal for the needs of industry professionals, researchers, and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies.

• Offers comprehensive insights into the principles and architecture of ChatGPT, helping readers understand the intricacies of large language models
• Details large language model technologies, covering key aspects such as pretraining, transfer learning, middleware programming, and addressing technical aspects in an accessible manner
• Includes real-world examples and case studies, illustrating how large language models can be applied in various industries and professional settings
• Provides future developments and potential innovations in the field of large language models, preparing readers for upcoming changes and technological advancements

About this title

About the Author

Dr Cheng Ge is the Deputy Director of the Technology Transfer Center at Xiangtan University and the Vice Dean of the JD Intelligent City and Big Data Research Institute in Xiangtan. He is a professor at the School of Computer Science and Cyberspace at Xiangtan University and a committee member of the CCF Law and Computing Society. His primary research interests include knowledge representation learning and content security. An experienced entrepreneur, Dr. Ge has founded several software companies and provided AI industry insights as a technology consultant

From the Back Cover

ChatGPT: Principles and Architecture is an important comprehensive book, bringing readers up to date with the latest developments in large language models such as ChatGPT, and fulfilling the need for a resource that not only explains the theory but also provides insights into the implementation of AI technologies. The book bridges the knowledge gap between theoretical AI concepts and their practical applications. It equips industry professionals and researchers with a deeper understanding of large language models, enabling them to leverage these technologies effectively in their respective fields. This book tackles the complexity of understanding large language models and their practical applications. It demystifies the underlying technologies and strategies used in developing ChatGPT and similar models, offering readers a clear roadmap from conceptual understanding to practical implementation. By combining theoretical knowledge with real-world examples, the book enables readers to grasp the nuances of AI technologies, paving the way for innovative applications and solutions in their professional domains. In exploring the intricacies of large language models, the book focuses on the principles, architecture, pretraining, transfer learning, and middleware programming techniques of ChatGPT, providing a useful resource for the research and academic communities. The book addresses the needs of industry professionals, researchers and students in the field of AI and computer science who face daily challenges in understanding and implementing complex large language model technologies. It provides them with the necessary theoretical knowledge and practical insights to effectively apply these technologies in their work. Furthermore, it helps in overcoming the gap between theoretical concepts of large language models and their practical applications, offering guidance on how to navigate through the rapidly evolving landscape of AI.

Edition details

• Publisher: Elsevier
• Publication date: 2025
• Language: English
• ISBN 10: 0443274363
• ISBN 13: 9780443274367
• Binding: Paperback
• Number of pages: 230