Generative AI: Navigating the Course to the Artificial General Intelligence Future by Martin Musiol is a comprehensive resource that delves into the current capabilities, future potential, and inner workings of generative artificial intelligence. This edition emphasizes the short but eventful history of generative AI, its achievements so far, and its likely evolution in the future.
By integrating robust research, evidence-based practices, and compelling narratives, the text fosters a deeper understanding of topics such as the emergence of Artificial General Intelligence, ethical implications of AI, and the convergence of emerging technologies creating new possibilities in the GenAI space. It is an invaluable resource for entrepreneurs, technology enthusiasts, and professionals seeking to enhance their knowledge in the intersection of ethics, technology, business, and society.
This high-quality PDF eBook features a professional design and interactive content, allowing you to easily navigate between chapters and sections through clickable links.
Generative AI: Navigating the Course to the Artificial General Intelligence Future by Martin Musiol, published by Wiley in 2024, is available in interactive PDF format, with Print ISBN: 1394205910 and eTextbook ISBN: 9781394205912. This first edition is categorized under Computers/Artificial Intelligence, making it an invaluable asset for those aiming to excel in understanding and leveraging generative AI technologies. Purchase this eBook and save up to 80% at Ebookworm.
About the Author:
Martin Musiol: Martin Musiol is the founder and CEO of generativeAI.net and serves as the GenAI Lead for Europe at Infosys. He is a celebrated author and a prominent figure in the field of generative artificial intelligence, contributing significantly through his research and publications.
Generative AI ISBN: 1394205910
Details
How soon will i get my ebook?
- Authors: Martin Musiol
- Publisher: Wiley
- Format: Interactive PDF
- Pages: 425
- Print ISBN: 1394205910
- eTextbook ISBN: 9781394205912
- Edition: First
- Year: 2024
- Category: Computers/Artificial Intelligence