Foundations of Generative AI
Tina Babu, Rekha R Nair, P M Ebin
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.