Generative AI in e-Business
Author | : Abhishek Kathuria |
Publisher | : Springer Nature |
Total Pages | : 192 |
Release | : |
Genre | : |
ISBN | : 3031744373 |
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Author | : Abhishek Kathuria |
Publisher | : Springer Nature |
Total Pages | : 192 |
Release | : |
Genre | : |
ISBN | : 3031744373 |
Author | : S. Balasubramaniam |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 290 |
Release | : 2024-09-23 |
Genre | : Computers |
ISBN | : 311142507X |
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 | : DIZZY DAVIDSON |
Publisher | : Pure Water Books |
Total Pages | : 147 |
Release | : 2024-07-29 |
Genre | : Business & Economics |
ISBN | : |
Are you struggling to fully understand the impact of AI in healthcare? Do you wonder how AI can revolutionize diagnosis, treatment, and patient management? Look no further! This book, “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management,” is your comprehensive guide to navigating the complex world of AI in the medical field. Discover the transformative power of AI in diagnosing diseases, creating personalized treatment plans, performing robotic surgeries, and managing patient records. This book provides you with the knowledge and tools to harness AI’s potential, ensuring you stay ahead in the rapidly evolving healthcare landscape. Benefits of reading this book: Gain a deep understanding of AI applications in healthcare. Learn how AI enhances diagnostic accuracy and treatment efficacy. Explore real-world case studies and success stories. Understand the ethical and legal considerations of AI in medicine. Discover how AI can streamline administrative tasks and reduce costs. Why this book is essential: Comprehensive Coverage: From disease detection to robotic surgeries, this book covers all critical aspects of AI in healthcare. Expert Insights: Written by industry experts, it provides valuable insights and practical knowledge. Real-World Applications: Learn from real-world examples and case studies that illustrate the successful implementation of AI. Future Trends: Stay informed about emerging trends and technologies shaping the future of healthcare. Viral Bullet Points: Unlock the secrets of AI-driven diagnostics. Discover how AI personalizes treatment plans. Explore the future of robotic-assisted surgeries. Learn how AI manages patient records efficiently. Understand the ethical implications of AI in healthcare. Call to Action: Don’t miss out on the opportunity to revolutionize your understanding of AI in healthcare. Get your copy of “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management” today! Equip yourself with the knowledge to leverage AI’s potential and become a leader in the healthcare industry.
Author | : Gaur, Loveleen |
Publisher | : IGI Global |
Total Pages | : 472 |
Release | : 2024-09-18 |
Genre | : Computers |
ISBN | : |
Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.
Author | : Shah, Imdad Ali |
Publisher | : IGI Global |
Total Pages | : 622 |
Release | : 2024-10-22 |
Genre | : Computers |
ISBN | : |
Web engineering faces a pressing challenge in keeping pace with the rapidly evolving digital landscape. Developing, designing, testing, and maintaining web-based systems and applications require innovative approaches to meet the growing demands of users and businesses. Generative Artificial Intelligence (AI) emerges as a transformative solution, offering advanced capabilities to enhance web engineering models and methodologies. This book presents a timely exploration of how Generative AI can revolutionize the web engineering discipline, providing insights into future challenges and societal impacts. Generative AI for Web Engineering Models offers a comprehensive examination of integrating AI-driven generative approaches into web engineering practices. It delves into methodologies, models, and the transformative impact of Generative AI on web-based systems and applications. By addressing topics such as web browser technologies, website scalability, security, and the integration of Machine Learning, this book provides a roadmap for researchers, scientists, postgraduate students, and AI enthusiasts interested in the intersection of AI and web engineering.
Author | : Grzegorz Chodak |
Publisher | : Springer Nature |
Total Pages | : 336 |
Release | : |
Genre | : |
ISBN | : 3031552253 |
Author | : Utpal Chakraborty |
Publisher | : BPB Publications |
Total Pages | : 237 |
Release | : 2023-03-22 |
Genre | : Computers |
ISBN | : 935551798X |
Everything you need to know about the next generation Generative AI tool and ChatGPT KEY FEATURES ● Get familiar with the technical aspects of Generative AI and ChatGPT. ● Understand how you can implement Generative AI and ChatGPT in your organization. ● Explore use cases of Generative AI and ChatGPT in various industries and businesses, such as healthcare, finance, retail, network security, and more. DESCRIPTION Generative AI and ChatGPT have the potential to transform industries and society by improving efficiency, enhancing creativity, and enabling more personalized experiences. If you are someone who is looking to stay ahead of the curve in this rapidly evolving digital age and utilize its potential, this book is for you. This book gives a comprehensive overview of Generative AI and ChatGPT, the cutting-edge technologies that have gained significant attention in recent times. The book aims to provide a thorough understanding of these technologies, architectures, and training methods, including their background, development process, and current state. The book helps discover innovative ways in which these technologies have been implemented to achieve measurable benefits, including improved efficiency, customer satisfaction, security, and revenue growth and its potential application across different industries and use cases. The book also explores the challenges and considerations that organizations must take into account when implementing Generative AI and ChatGPT with existing limitations. Towards the end, the book provides insights into the substantial improvements and advancements in these technologies. It also helps you identify several areas for further research and development that could enhance the capabilities of ChatGPT in the near future. WHAT YOU WILL LEARN ● Explore how different industries and domains are using ChatGPT. ● Understand how content creators and marketing industries can benefit from using ChatGPT. ● Learn how to benefit from the problem-solving abilities of ChatGPT. ● Understand how ChatGPT can be used in various coding areas. ● Get familiar with the recent advancements in ChatGPT. WHO THIS BOOK IS FOR This book is for individuals and groups interested in AI and its practical applications in the business world. Business leaders, entrepreneurs, researchers, academicians, data scientists, Machine Learning engineers, and other professionals working in the field of AI can all find value in the book's insights into the latest technological advancements and how they can be leveraged to achieve business goals. TABLE OF CONTENTS 1. Introduction to ChatGPT 2. History Of Generative Models 3. Generative AI in Banking and Finance 4. Regulatory and Legal aspects of Generative AI 5. Generative AI and ChatGPT for Government Departments 6. Authenticity AI generated content 7. ChatGPT Technical Overview: Introduction 8. Brief of top other NLP models 9. Historical flow and development of GPT series 10. API Pricing model and technical limitations of ChatGPT 11. Customer Journey in ChatGPT free version UI 12. Use Cases in Modern Era: Introduction 13. Use case in Content-marketing 14. Education and e-learning abilities 15. Use case in Entertainments purposes 16. Potential of ChatGPT in Coding and Programming 17. Problem solving abilities (Quantitative) 18. Problem solving abilities (Qualitative) 19. Use cases Financial Industry 20. Use cases in Healthcare Industry 21. Use cases in E-commerce Industry 22. Use cases in Hospitality Industry 23. Problem solving abilities of ChatGPT 24. How beginner start ChatGPT for problem-solving 25. ChatGPT for National Cyber Security and TechnoPolicy 26. Use cases in edtech industry 27. Potential of ChatGPT in Research work 28. Potential of ChatGPT in Coding and Programming 29. Recent advancements that are made in ChatGPT 30. ChatGPT and the market right now 31. Generative AI and Chatgpt Help India G20 Summit 32. GPT- 4 33. Future scope of ChatGPT
Author | : Rajiv Tulsyan |
Publisher | : Notion Press |
Total Pages | : 95 |
Release | : 2024-05-17 |
Genre | : |
ISBN | : |
The comprehensive content of the book, “Transforming Business with Generative AI”, unfolds with an in-depth exploration of Generative AI, establishing its transformative potential in the business landscape. Covering key concepts and historical evolution, the book provides a foundation in machine learning, neural networks, and deep learning, tracing the journey from rule-based systems to the contemporary neural network revolution. It highlights the pivotal role of hardware advancements. The author, Rajiv Tulsyan, then delves into the profound impact of Generative AI on businesses, showcasing its applications in automating tasks, content generation, personalization, data analysis, and creative innovation. Real-world case studies, including Netflix's recommendation system and e-commerce product descriptions, illustrate its practical implications across diverse industries. Each chapter incorporates case studies and real-world examples to reinforce theoretical concepts, making the book accessible to both beginners and professionals. The inclusion of future trends and challenges anticipates the evolving landscape of Generative AI. The book, “Transforming Business with Generative AI”, concludes by emphasizing the importance of addressing ethical concerns and staying informed about emerging trends for businesses seeking to fully leverage Generative AI's potential.
Author | : Loveleen Gaur |
Publisher | : Springer Nature |
Total Pages | : 141 |
Release | : |
Genre | : |
ISBN | : 3031556151 |
Author | : Bernard Marr |
Publisher | : John Wiley & Sons |
Total Pages | : 220 |
Release | : 2019-04-15 |
Genre | : Business & Economics |
ISBN | : 1119548985 |
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.