Generative AI
Navigating the Course to the Artificial General Intelligence Future
(Sprache: Englisch)
Generative AI: Revolutionizing Business and Everyday Life provides an overview of the short but eventful history of GenAI, describes the impressive achievements that GenAI models have reached so far, and explores how the technology is likely to evolve in...
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Klappentext zu „Generative AI “
Generative AI: Revolutionizing Business and Everyday Life provides an overview of the short but eventful history of GenAI, describes the impressive achievements that GenAI models have reached so far, and explores how the technology is likely to evolve in the future. The book breaks down complex but foundational GenAI concepts which won't change frequently into simplified pieces and paints a promising future of this tech. You'll see why it's likely that different types of models merge into broader AI with higher quality which paves the way for Artificial General Intelligence - AGI. The book explores the transformational potential for a wide range of industries, for individuals, and for society. The author boldly addresses the ethical implications of GenAI, including the potential for misuse (e.g. deepfakes), biased models, and workforce replacement. And he balances that by highlighting the potential upsides and chances that the adoption of GenAI and the creation of new ways of working carry.
Inhaltsverzeichnis zu „Generative AI “
Introduction ix Chapter 1 AI in a Nutshell 1 Chapter 2 Innovative Approaches for High-Quality Data Generation 23 Chapter 3 Generative AI's Broad Spectrum of Applications 119 Chapter 4 Generative AI's Exponential Growth 219 Chapter 5 Ethical Concerns and Social Implications of Generative AI 285 Chapter 6 Artificial General Intelligence in Sight 337 Acknowledgments 405 About the Author 407 Index 409
Autoren-Porträt von Martin Musiol
MARTIN MUSIOL is the founder of generativeAI.net and the publisher of Generative AI: Short & Sweet, a popular artificial intelligence newsletter. He is a frequent speaker at conferences, podcasts, and panel discussions where he addresses the technological advancements, practical applications, and ethical considerations of generative AI. He is a data scientist by training and a former IBM Data Science Manager and Generative AI lead for Infosys.
Bibliographische Angaben
- Autor: Martin Musiol
- 2024, 1. Auflage, 432 Seiten, Masse: 15,4 x 22,9 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 1394205910
- ISBN-13: 9781394205912
- Erscheinungsdatum: 21.02.2024
Sprache:
Englisch
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