Author: Midhun Moorthi C
Publisher: Academic Guru Publishing House
ISBN: 8119338790
Category : Study Aids
Languages : en
Pages : 209
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Book Description
This book provides a thorough introduction to two cutting-edge technologies known as Generative AI and ChatGPT. Both of these technologies have received much attention in recent years. Generative AI and ChatGPT can completely reshape sectors and society as a whole by increasing productivity and innovation and making it possible to have more tailored experiences. The natural language processing tool, ChatGPT, powered by artificial intelligence technology, enables you to engage in human-like conversation with the chatbot and provides several other benefits. The language model can answer inquiries and assist with activities such as the composition of emails, essays, and code. This book aims to give a comprehensive overview of the technologies, architectures, and training techniques mentioned above, including their history, the process by which they were developed, and their present status. This book assists in discovering novel applications of these technologies that have been put into practice to generate quantifiable advantages, such as increased efficiency, customer happiness, security, and revenue growth. The book also discusses the book's potential applicability across a variety of sectors and use cases.
Author: Sharma, Priyanka
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 333
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Book Description
The rapid progress of artificial intelligence (AI) technologies has resulted in a complicated landscape for researchers and practitioners. Understanding and navigating the complexities of AI applications, particularly in the context of ChatGPT and its interactions with other AI tools, can be challenging. Researchers and academics need guidance to keep up with these technologies' evolving trends and implications, which leads to gaps in knowledge and implementation strategies. Additionally, the ethical and societal impacts of integrating AI into various domains remain a significant concern, requiring a comprehensive approach to address. Applications, Challenges, and the Future of ChatGPT provide a comprehensive solution to these issues by offering a detailed analysis of the current research trends in AI, focusing on ChatGPT and its interactions with other AI tools. The book delves into how we can effectively utilize ChatGPT and other AI tools to address complex problems by exploring AI applications' collaborative potentials and emerging paradigms. By identifying research gaps and suggesting future directions, this book equips researchers and practitioners with the knowledge and tools necessary to navigate the evolving landscape of AI.
Author: Dimple Patil
Publisher: Deep Science Publishing
ISBN: 8198136789
Category : Computers
Languages : en
Pages : 350
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Book Description
ChatGPT and other generative AI models are leading the technological revolution. The Future impact of ChatGPT on several business sectors documents the profound impact ChatGPT and artificial intelligence are having and will continue to have on business. A thorough analysis reveals how these tools change interactions, strategies, and efficiencies across industries.vIn the first chapter, we discuss how ChatGPT and generative AI are changing operations, decision-making, and communication across industries. The second chapter examines how ChatGPT redefines customer engagement, personalization, and satisfaction, reshaping customer loyalty. Chapter Three addresses ChatGPT and AI implementation challenges, as every innovation does. We examine the challenges businesses face, from data security to workforce adaptation. Chapter 4 discusses resilience and how ChatGPT helps organizations adapt, mitigate risks, and maintain continuity in unpredictable environments. Chapter Five analyzes ChatGPT adoption across industries, highlighting the challenge of AI integration acceptance. Chapter Six examines new opportunities and applications where ChatGPT's transformative potential grows. Finally, Chapter Seven forecasts ChatGPT's business sector futures and discusses AI's changing role in industry. This book guides businesses, researchers, and anyone interested in ChatGPT's future impact on business.
Author: Davide Ceolin
Publisher: Springer Nature
ISBN: 3031478967
Category : Computers
Languages : en
Pages : 204
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Book Description
This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21–22, 2023. The 13 full papers presented in this book were carefully reviewed and selected from 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.
Author: Yu-Ping Cheng
Publisher: Springer Nature
ISBN: 3031658841
Category :
Languages : en
Pages : 272
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Book Description
Author: Sujeet K. Sharma
Publisher: Springer Nature
ISBN: 3031501888
Category : Computers
Languages : en
Pages : 479
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Book Description
This book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Author:
Publisher: STAR SCHOLARS PRESS
ISBN: 195748036X
Category : Education
Languages : en
Pages : 322
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Book Description
ChatGPT and Global Higher Education: Using Artificial Intelligence in Teaching and Learning
Author: S. Balasubramaniam
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311142507X
Category : Computers
Languages : en
Pages : 290
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Book 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: Murat Yilmaz
Publisher: Springer Nature
ISBN: 3031711394
Category :
Languages : en
Pages : 469
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Book Description
Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 9819741491
Category :
Languages : en
Pages : 698
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Book Description
