國立虎尾科技大學 |

Generative AI essentials

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Generative AI essentials / Priyanka Singh, Hariom Singh.
Author:	Singh, Priyanka.
other author:	Singh, Hariom,
Description:	1 online resource (295 pages)
Subject:	COMPUTERS / Data Science / Machine Learning. -
Online resource:	https://portal.igpublish.com/iglibrary/search/BPB0000725.html
ISBN:	9789365890990

Generative AI essentials
Singh, Priyanka.

Generative AI essentials [electronic resource] /Priyanka Singh, Hariom Singh. - 1 online resource (295 pages)

Includes bibliographical references and index.

Generative AI essentials -- About the Authors -- About the Reviewers -- Acknowledgements -- Preface -- Table of Contents -- Chapter 1 Introduction to Generative AI -- Chapter 2 Generative Adversarial Networks -- Chapter 3 Variational Autoencoders -- Chapter 4 Transformer Models and Language Generation -- Chapter 5 Image Generation and Style Transfer -- Chapter 6 Text Generation and Language Models with Real-time Examples -- Chapter 7 Generative AI in Art and Creativity -- Chapter 8 Exploring Advanced Concepts -- Chapter 9 Future Direction and Challenges -- Chapter 10 Building Your Own-Generative AI Models -- Chapter 11 Conclusion and Outlook -- Appendices -- Index.

Access restricted to authorized users and institutions.

Generative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology. This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. It explains key models, including GANs and VAEs, breaking down their architectures and training methods. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. The book explores practical applications such as image synthesis, style transfer, and text generation, showing how generative AI merges technology with creativity. Advanced topics like reinforcement learning, AI ethics, and bias are also covered. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals. By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects. From creating realistic images to crafting natural text, you will explore hands-on examples while tackling important ethical questions. This book gives you the skills and confidence to explore the limitless potential of generative AI.

Mode of access: World Wide Web.

ISBN: 9789365890990Subjects--Topical Terms:

1483854
COMPUTERS / Data Science / Machine Learning.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q335

Dewey Class. No.: 006.3

Generative AI essentials
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505 0 # $a Generative AI essentials -- About the Authors -- About the Reviewers -- Acknowledgements -- Preface -- Table of Contents -- Chapter 1 Introduction to Generative AI -- Chapter 2 Generative Adversarial Networks -- Chapter 3 Variational Autoencoders -- Chapter 4 Transformer Models and Language Generation -- Chapter 5 Image Generation and Style Transfer -- Chapter 6 Text Generation and Language Models with Real-time Examples -- Chapter 7 Generative AI in Art and Creativity -- Chapter 8 Exploring Advanced Concepts -- Chapter 9 Future Direction and Challenges -- Chapter 10 Building Your Own-Generative AI Models -- Chapter 11 Conclusion and Outlook -- Appendices -- Index.
506 # $a Access restricted to authorized users and institutions.
520 3 $a Generative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology. This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. It explains key models, including GANs and VAEs, breaking down their architectures and training methods. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. The book explores practical applications such as image synthesis, style transfer, and text generation, showing how generative AI merges technology with creativity. Advanced topics like reinforcement learning, AI ethics, and bias are also covered. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals. By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects. From creating realistic images to crafting natural text, you will explore hands-on examples while tackling important ethical questions. This book gives you the skills and confidence to explore the limitless potential of generative AI.
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