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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.
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.
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.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Volkswirtschaft |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Seiten: | 420 |
| Inhalt: | 432 S. |
| ISBN-13: | 9781394205912 |
| ISBN-10: | 1394205910 |
| Sprache: | Englisch |
| Herstellernummer: | 1W394205910 |
| Einband: | Gebunden |
| Autor: | Musiol, Martin |
| Hersteller: | Wiley John + Sons |
| Maße: | 229 x 154 x 35 mm |
| Von/Mit: | Martin Musiol |
| Erscheinungsdatum: | 28.02.2024 |
| Gewicht: | 0,772 kg |
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.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Volkswirtschaft |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Buch |
| Seiten: | 420 |
| Inhalt: | 432 S. |
| ISBN-13: | 9781394205912 |
| ISBN-10: | 1394205910 |
| Sprache: | Englisch |
| Herstellernummer: | 1W394205910 |
| Einband: | Gebunden |
| Autor: | Musiol, Martin |
| Hersteller: | Wiley John + Sons |
| Maße: | 229 x 154 x 35 mm |
| Von/Mit: | Martin Musiol |
| Erscheinungsdatum: | 28.02.2024 |
| Gewicht: | 0,772 kg |
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