Principles and Technologies of Large Models
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Beschreibung
Large models, as a significant direction in artificial intelligence technology, are gradually becoming one of the key trends in future technological development. In light of this, this book focuses on introducing the foundational knowledge, principles, and technologies related to large models. The book is divided into 14 chapters, covering topics such as the basics of deep learning, natural language processing, the architecture of large models, training and optimization of large models, fine-tuning, and related application case studies.
The book emphasizes the scientific and systematic nature of the content, providing a comprehensive and progressive explanation of large model technology from its historical development, theoretical foundations, construction methods, to application scenarios. It concentrates on the extended applications of large models in various fields, offering a comprehensive learning path for application case studies, aiming to cultivate and enhance students' practical and creative abilities. Each chapter includes exercises that allow students to practice and reinforce their knowledge.
This book also offers a rich set of supplementary materials, including lecture slides, videos, and solutions to exercises, making it an ideal textbook for undergraduate programs and research institutes in computer science, artificial intelligence, mechanical engineering, automation, and related disciplines.
Large models, as a significant direction in artificial intelligence technology, are gradually becoming one of the key trends in future technological development. In light of this, this book focuses on introducing the foundational knowledge, principles, and technologies related to large models. The book is divided into 14 chapters, covering topics such as the basics of deep learning, natural language processing, the architecture of large models, training and optimization of large models, fine-tuning, and related application case studies.
The book emphasizes the scientific and systematic nature of the content, providing a comprehensive and progressive explanation of large model technology from its historical development, theoretical foundations, construction methods, to application scenarios. It concentrates on the extended applications of large models in various fields, offering a comprehensive learning path for application case studies, aiming to cultivate and enhance students' practical and creative abilities. Each chapter includes exercises that allow students to practice and reinforce their knowledge.
This book also offers a rich set of supplementary materials, including lecture slides, videos, and solutions to exercises, making it an ideal textbook for undergraduate programs and research institutes in computer science, artificial intelligence, mechanical engineering, automation, and related disciplines.
systematically covers large model technology from basics to applications enhancing practical and creative skills each chapter includes exercises and supplementary materials ideal for academic and research use spanning topics from deep learning to smart manufacturing
Autor*in
Lina Gong
Themen in »Principles and Technologies of Large Models«
Artificial Intelligence Large Models AI in Industry Application Advanced AI Architectures AI Model Fine-Tuning Model Training Optimization