Neuware - 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.

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Bibliographic Details

Title: ChatGPT : Principles and Architecture
Publisher: Elsevier Science Jun 2025
Publication Date: 2025
Language: English
ISBN 10: 0443274363
ISBN 13: 9780443274367
Binding: Taschenbuch
Condition: Neu
Dimensions: 229 millimeters width by 155 millimeters height by 12 millimeters depth
Weight: 386 grams

About this title

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 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

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