Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unveiling the potential of large language models: Redefining learning in the age of generative AI Description An account of the resource Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are transforming industries by fostering innovation, automating tasks, and enhancing creativity. By enabling personalized user interactions, sophisticated content creation, and advanced data analytics, they are revolutionizing industries such as healthcare, education, and customer service. As these technologies evolve, they can fundamentally change communication and decision-making processes and incorporate AI into everyday life. The objective of this book chapter is to examine the architecture and components, features, functionality, domain-specific applications, recent advances, and future developments of LLMs. Ongoing research aims to reduce biases, increase energy efficiency, and facilitate interpretation. As LLMs continue to evolve, they have the potential to transform many industries, including education, customer service, content creation, and more. As a result, they will be essential for the development of future AI-powered applications. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Varghese N.; Ramasamy G. Source A related resource from which the described resource is derived Intersection of AI and Business Intelligence in Data-Driven Decision-Making, pp. 389-414. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-5288-5.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-5288-5.ch015</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215356010&amp;doi=10.4018%2F979-8-3693-5288-5.ch015&amp;partnerID=40&amp;md5=17ca9681c052fb62969736c252dc753a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215356010&amp;doi=10.4018%2f979-8-3693-5288-5.ch015&amp;partnerID=40&amp;md5=17ca9681c052fb62969736c252dc753a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836935289-2; 979-836935288-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Varghese N., Christ University, India; Ramasamy G., Christ University, India