Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16784
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dc.contributor.authorBabu, Tina-
dc.contributor.authorNair, Rekha R-
dc.contributor.authorEbin, P M-
dc.date.accessioned2024-12-12T09:33:01Z-
dc.date.available2024-12-12T09:33:01Z-
dc.date.issued2024-
dc.identifier.citationpp. 136-166en_US
dc.identifier.isbn9798369332795-
dc.identifier.isbn9798369332788-
dc.identifier.urihttps://doi.org/10.4018/979-8-3693-3278-8.ch007-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16784-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherThe Pioneering Applications of Generative AIen_US
dc.publisherIGI Globalen_US
dc.subjectGenerative Aien_US
dc.subjectArtificial Intelligence (Ai)en_US
dc.subjectTechnologiesen_US
dc.subjectNetworksen_US
dc.subjectAi Toolsen_US
dc.titleFoundations of Generative AIen_US
dc.typeBook Chapteren_US
Appears in Collections:Book/ Book Chapters

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