Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16784
Title: Foundations of Generative AI
Authors: Babu, Tina
Nair, Rekha R
Ebin, P M
Keywords: Generative Ai
Artificial Intelligence (Ai)
Technologies
Networks
Ai Tools
Issue Date: 2024
Publisher: The Pioneering Applications of Generative AI
IGI Global
Citation: pp. 136-166
Abstract: The chapter delves into the foundations of generative artificial intelligence (AI), offering an introductory overview and a nuanced understanding of its basic principles, history, and evolution. It navigates through core technologies underpinning generative AI, including neural networks, machine learning models, and key algorithms. The introduction traces generative AI's roots, unraveling its historical trajectory. It progresses to elucidate fundamental concepts, exploring neural networks' structures, functionalities, and applications. The study examines diverse machine learning models and pivotal algorithms crucial to generative AI, shedding light on their roles in generating innovative outputs. This abstract encapsulates a comprehensive journey through generative AI's core elements, serving as a foundational guide for understanding its origins, principles, and technologies © 2024, IGI Global.
URI: https://doi.org/10.4018/979-8-3693-3278-8.ch007
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16784
ISBN: 9798369332795
9798369332788
Appears in Collections:Book/ Book Chapters

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