Generative AI and LLMs: Natural Language Processing and Generative Adversarial N

Description: Generative AI and LLMs by S. Balasubramaniam, Seifedine Kadry, Rajesh Kumar Dhanaraj, Aruchamy Prasanth Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, a FORMAT Hardcover CONDITION Brand New Publisher Description Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM. Author Biography S. Balasubramaniam, S. Kadry, Norway; A. Prasanth, R. Dhanaraj, India. Details ISBN3111424634 Author Aruchamy Prasanth Publisher De Gruyter Year 2024 ISBN-13 9783111424637 Format Hardcover Imprint De Gruyter Subtitle Natural Language Processing and Generative Adversarial Networks Place of Publication Berlin Country of Publication Germany Alternative 9783111425078 Edited by Aruchamy Prasanth Audience Professional & Vocational Pages 289 Publication Date 2024-09-23 Illustrations 33 Illustrations, color; 12 Tables, black and white; 35 Illustrations, black and white DEWEY 006.35 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:161368222;

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