Generative Ai Current Trends And Applications
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Generative Ai Current Trends And Applications
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2024-12-09
Generative Ai Current Trends And Applications written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-09 with Computers categories.
This comprehensive volume focuses on the latest advancements in Generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as Generative AI models, transfer learning and Natural Language Processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in Generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of Generative AI and how it can be harnessed to tackle complex real-world challenges.
Artificial Intelligence Ai
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Author : S. Kanimozhi Suguna
language : en
Publisher: CRC Press
Release Date : 2021-05-27
Artificial Intelligence Ai written by S. Kanimozhi Suguna and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-27 with Technology & Engineering categories.
This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Recent Trends And Applications Of Soft Computing In Engineering Rtasce Sarajevo
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Author : Benjamin Duraković
language : en
Publisher: Springer Nature
Release Date : 2025-04-29
Recent Trends And Applications Of Soft Computing In Engineering Rtasce Sarajevo written by Benjamin Duraković and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.
Recent Trends and Applications of Soft Computing in Engineering (RTASCE), a key resource showcasing research and development in engineering. Created at the inaugural RTASCE conference in Sarajevo, this edited volume brings together leading scholars and researchers to explore the transformative applications of soft computing in a variety of fields. With topics ranging from artificial intelligence and the Internet of Things (IoT) to machine learning, this book offers practical applications and insight into future trends, making it an invaluable addition to any academic library. This book bridges the biological sciences and engineering through programming, encouraging interdisciplinary collaboration. Structured into five main sections – including artificial intelligence, IoT, communication systems, bioengineering and manufacturing management – RTASCE not only highlights real-world case studies and expert perspectives, but also provides practical guidance for practitioners looking to integrate soft computing techniques into their work .
Wipo Technology Trends 2019 Artificial Intelligence
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Author : World Intellectual Property Organization
language : en
Publisher: WIPO
Release Date : 2019-01-21
Wipo Technology Trends 2019 Artificial Intelligence written by World Intellectual Property Organization and has been published by WIPO this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-21 with Law categories.
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
Building Conversational Generative Ai Apps With Langchain And Gpt
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Author : Mugesh S
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-06-04
Building Conversational Generative Ai Apps With Langchain And Gpt written by Mugesh S and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-04 with Computers categories.
TAGLINE Transform Text into Intelligent Conversations with LangChain and GPT. KEY FEATURES ● Build AI Chatbots with LangChain, Python and GPT models through hands-on guidance. ● Master Advanced Techniques like RAG, document embedding, and LLM fine-tuning. ● Deploy and Scale conversational AI systems for real-world applications. DESCRIPTION Conversational AI Apps are revolutionizing the way we interact with technology, enabling businesses and developers to create smarter, more intuitive applications that engage users in natural, meaningful ways. Building Conversational Generative AI Apps with LangChain and GPT is your ultimate guide to mastering AI-driven conversational systems. Starting with core concepts of generative AI and LLMs, you'll learn to build intelligent chatbots and virtual assistants, while exploring techniques like fine-tuning LLMs, retrieval-augmented generation (RAG), and document embedding. As you progress, you'll dive deeper into advanced topics such as vector databases and multimodal capabilities, enabling you to create highly accurate, context-aware AI agents. The book's step-by-step tutorials ensure that you develop practical skills in deploying and optimizing scalable conversational AI solutions. By the end, you'll be equipped to build AI apps that enhance customer engagement, automate workflows, and scale seamlessly. Unlock the potential of Building Conversational Generative AI Apps with LangChain and GPT and create next-gen AI applications today! WHAT WILL YOU LEARN ● Build and deploy AI-driven chatbots using LangChain and GPT models. ● Implement advanced techniques like retrieval-augmented generation (RAG) for smarter responses. ● Fine-tune LLMs for domain-specific conversational AI applications. ● Leverage vector databases for efficient knowledge retrieval and enhanced chatbot performance. ● Explore multimodal capabilities and document embedding for better context-aware responses. ● Optimize and scale conversational AI systems for large-scale deployments. WHO IS THIS BOOK FOR? This book is for developers, data scientists, and AI enthusiasts eager to build conversational applications using LangChain and GPT models. While a basic understanding of Python and machine learning concepts is beneficial, the book offers step-by-step guidance, making it accessible to both beginners and experienced practitioners. TABLE OF CONTENTS 1. Introduction to Conversational Generative AI 2. Natural Language Processing (NLP) Fundamentals 3. The Building Blocks of Rule-Based Chatbots 4. Statistical Language Models for Text Generation 5. Neural Network Architectures for Conversation 6. The Transformer Architecture Revolution 7. Unveiling ChatGPT and Architectures 8. Langchain Framework for Building Conversational AI 9. Exploring the LLM Landscape beyond GPT 10. The Transformative Impact of Conversational AI 11. Challenges and Opportunities in LLM Development Index
Generative Ai Tools Concepts Applications And Innovations
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Author : Mr. Thumu Muni Balaji
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-02-10
Generative Ai Tools Concepts Applications And Innovations written by Mr. Thumu Muni Balaji and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Study Aids categories.
Generative AI Tools: Concepts, Applications, and Innovations is a comprehensive guide that delves into the world of Generative AI, offering a blend of foundational concepts, technical architectures, and real-world applications. The book is meticulously organized into seven chapters, beginning with an introduction to Generative AI, its evolution, and the key technologies driving it forward. It explores advanced architectures such as Neural Networks, Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, providing readers with a strong technical foundation. The book also highlights diverse applications of Generative AI, from text generation, including chatbots, content creation, and language models, to image and video synthesis for media and advertising. It examines the role of AI in audio and music creation, speech synthesis, and sound design, showcasing its potential in creative industries. Additionally, it discusses the integration of Generative AI in design, game development, and immersive technologies like virtual and augmented reality. In the final chapters, the book shifts focus to industry-specific applications, illustrating how Generative AI is revolutionizing fields such as healthcare, education, marketing, manufacturing, and robotics. This well-rounded exploration makes the book an essential resource for students, researchers, professionals, and anyone keen to understand the transformative impact of Generative AI. By blending theory with practice, the book empowers readers to navigate and contribute to this rapidly evolving field.
Artificial Intelligence In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-15
Artificial Intelligence In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Comics & Graphic Novels categories.
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.
Ai Use In Social Sciences
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Author : Demircioğlu, Aytekin
language : en
Publisher: IGI Global
Release Date : 2025-06-18
Ai Use In Social Sciences written by Demircioğlu, Aytekin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Social Science categories.
Artificial intelligence (AI)-based technologies are significantly impacting various social science disciplines. With the large data sets that are analyzed, technologies such as machine learning (ML), natural language processing (NLP), and neural networks are particularly useful in disciplines such as sociology, psychology, political science, anthropology, and economics. Thus, social science education and research benefit by the ability of AI to effectively analyze data sets, predict, and increase interactivity. However, ethical concerns regarding privacy and algorithm bias cause some to be resistant to adopting the use of AI in social science fields. Thus, it is crucial to consider the ethical consequences while exploring the multifaceted impact of AI on education, research, and social sciences. AI Use in Social Sciences explores the opportunities and challenges AI provides to the field of social sciences. It presents practical applications of AI and the societal implications they have. Covering topics such as, philosophy teaching, economic policy, and unified theory of acceptance and use of technology (UTAUT), this book is an excellent resource for social scientists, teachers, ethicists, policymakers, researchers, professionals, scholars, academicians, and more.
Applications Of Generative Ai
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Author : Zhihan Lyu
language : en
Publisher: Springer Nature
Release Date : 2024-03-05
Applications Of Generative Ai written by Zhihan Lyu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Computers categories.
This book provides a comprehensive introduction to Generative AI in terms of basic concepts, core technologies, technical architecture, and application scenarios. Readers gain a deeper understanding of the emerging discipline of Generative AI. This book covers the latest cutting-edge application technologies of Generative AI in various fields. It provides relevant practitioners with ideas to solve problems and deepen their understanding of Generative AI. At the same time, it guides and helps Generative AI and related industries to deepen their understanding of the industry and enhance professional knowledge and skills. Starting from reality, this book lists many cases and analyzes theories in a popular image. The book is useful for AI researchers and specifically for those working with the applications at hand (primarily medical imaging and construction/twinning industry). It covers a variety of cutting-edge technologies in Generative AI, which provides researchers with new research ideas.