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Introduction To Generative Ai


Introduction To Generative Ai
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Introduction To Generative Ai


Introduction To Generative Ai
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Author : Numa Dhamani
language : en
Publisher: Simon and Schuster
Release Date : 2024-03-05

Introduction To Generative Ai written by Numa Dhamani and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-05 with Computers categories.


Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI



Introduction To Generative Ai Second Edition


Introduction To Generative Ai Second Edition
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Author : Numa Dhamani
language : en
Publisher: Simon and Schuster
Release Date : 2026-01-13

Introduction To Generative Ai Second Edition written by Numa Dhamani and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.


Get up to speed quickly with generative AI! AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively. In this easy-to-read introduction, you’ll learn: • How large language models (LLMs) work • How to apply AI across personal and professional work • The social, legal, and policy landscape around generative AI • Emerging trends like reasoning models and vibe coding Introduction to Generative AI, Second Edition guides you from your first eye-opening interaction with tools like ChatGPT to how AI tools can transform your personal and professional life safely and responsibly. This second edition has been completely revised to reflect the latest developments in the field—from the latest innovations in prompt engineering and AI agents to fresh coverage of multimodal training, reasoning models, no-code tools, retrieval-augmented generation (RAG), and more. About the book Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage. About the reader For anyone interested in generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.



The Rise Of Generative Ai Applications Challenges And Ethical Implications


The Rise Of Generative Ai Applications Challenges And Ethical Implications
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Author : Fatlind Mazreku
language : en
Publisher: GRIN Verlag
Release Date : 2025-12-10

The Rise Of Generative Ai Applications Challenges And Ethical Implications written by Fatlind Mazreku and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-10 with Computers categories.


Scientific Study from the year 2025 in the subject Computer Sciences - Artificial Intelligence, , language: English, abstract: Generative Artificial Intelligence (AI) refers to algorithms and models capable of producing new content—such as text, images, music, or code—that mimics or even rivals human creations. Recent breakthroughs in model architectures (e.g. transformers) and the advent of large-scale models like OpenAI’s GPT-3 and DALL-E have fueled an explosive growth in generative AI’s capabilities and public adoption. This paper provides an overview of generative AI’s rise and its transformative impact across various fields. We discuss key applications of generative AI in domains ranging from art and design to software development and medicine, highlighting the innovative benefits it brings, such as enhanced creative productivity and new problem-solving tools. At the same time, we examine the challenges and ethical concerns emerging from generative AI’s widespread use—issues of bias, misinformation, intellectual property, and misuse that have become increasingly urgent. We also analyze the current technical limitations of generative AI (including accuracy, interpretability, and resource demands) and consider future outlooks for the technology. The findings underscore that while generative AI offers unprecedented opportunities and innovations, careful consideration of its ethical implications and proactive governance is essential to ensure it is developed and used responsibly. In conclusion, generative AI stands as a powerful tool that is reshaping creativity, industry, and society, and its continued evolution will depend on balancing its benefits with diligent management of its risks.



Machine Talk


Machine Talk
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Author : Timothy C. Self Ed.D.
language : en
Publisher: Covenant Books, Inc.
Release Date : 2025-02-18

Machine Talk written by Timothy C. Self Ed.D. and has been published by Covenant Books, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.


This book introduces you to an innovative prompting technique -- Generative AI Self-Conversations--where you can direct a generative AI tool such as ChatGPT to have engaging and dynamic conversations with itself. Essentially, ChatGPT will take on different roles (personas) and perspectives, debating, questioning, and diving deep into ideas, all while you observe and learn from the self-conversations taking place. With easy-to-follow concepts, real-life applications, and many use-case scenarios, this book shows you how to use AI-simulated self-conversations to enhance your personal growth, sharpen your thinking, tackle complex problems, and spark innovations. Whether you're brainstorming new ideas, reflecting on life decisions, or exploring global issues, this technique provides a unique and powerful way to unlock insights and truths that otherwise might have remained hidden. Step into the future of generative AI self-conversations and discover how you can use this fresh and exciting technique to think smarter, learn faster, and grow in ways you never imagined. 2



Generative Ai


Generative Ai
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Author : Anand Vemula
language : en
Publisher: Independently Published
Release Date : 2024-07-13

Generative Ai written by Anand Vemula and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Computers categories.


Generative AI: A Non-Technical Introduction to Understanding and Using AI demystifies the complex world of artificial intelligence by providing an accessible guide to understanding and leveraging generative AI technologies. This book is designed for readers without a technical background who are curious about the transformative power of AI in various fields. The journey begins with an introduction to generative AI, explaining its fundamentals and differentiating it from other types of AI. It delves into the history and evolution of AI, highlighting key milestones that have led to the current advancements in generative models. Readers are introduced to essential concepts and terminology, providing a solid foundation for exploring the more advanced topics discussed later. The book outlines how generative AI works, detailing the basic principles of machine learning, neural networks, and deep learning. It explains different types of generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), in a manner that is easy to grasp. Practical applications of generative AI are showcased across various industries, including creative arts, business and marketing, healthcare, entertainment, and education. Real-world examples illustrate how AI is being used to create art, compose music, generate personalized marketing content, assist in medical research, and more. These examples are complemented by case studies and success stories, highlighting the impact of generative AI on society. Ethical considerations, economic implications, and cultural changes brought about by generative AI are thoroughly examined. The book discusses challenges such as data privacy, security, and the potential misuse of AI technologies, emphasizing the importance of ethical AI development. Looking ahead, the book explores emerging technologies, potential developments, and future trends in generative AI. It offers predictions for the next decade, considering both the opportunities and challenges that lie ahead. The book concludes with practical advice on how to get started with generative AI, including resources for non-technical learners, communities to join, and lessons learned from industry experts. Encouraging further exploration, it inspires readers to engage with this exciting field and leverage AI for innovation and creativity.



Introduction To Generative Ai


Introduction To Generative Ai
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Author : Jamuna S. Murthy
language : en
Publisher: CRC Press
Release Date : 2026-06-25

Introduction To Generative Ai written by Jamuna S. Murthy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-06-25 with Computers categories.


Generative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and complete journey through the science and art behind this revolution -- from how machines learn to produce text, images, and music, to how they are being built, tested, and applied in the real world.



Introduction To Generative Ai And Chatgpt For Managers


Introduction To Generative Ai And Chatgpt For Managers
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Author : Denio Negrão
language : en
Publisher: Clube de Autores
Release Date : 2023-07-26

Introduction To Generative Ai And Chatgpt For Managers written by Denio Negrão and has been published by Clube de Autores this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.


Generative AI has the potential to revolutionize industries by streamlining content creation, improving quality, and enabling new possibilities. While it offers tremendous benefits, it s essential to navigate ethical considerations, ensure transparency, and understand the limitations of AI-generated content to maximize its positive impact on businesses and society.



Applications Of Generative Ai


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.



Introduction To Generative Ai With Julia And Python


Introduction To Generative Ai With Julia And Python
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Author : Pierluigi Riti
language : en
Publisher: Apress
Release Date : 2026-02-09

Introduction To Generative Ai With Julia And Python written by Pierluigi Riti and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-09 with Computers categories.


Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics. The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia’s AI capabilities to construct Artificial Neural Networks. You’ll then explore advanced AI models, such as variational autoencoders, in order to generative images and text. Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources. What You Will Learn Acquire a solid foundation of Generative AI basics. Utilize the capabilities of Python and Julia to constructure Artificial Neural Networks Explore advanced AI models including variational autoencoders, to generate images Survey different architectures for AI and utilize free resources to produce different AI Who This Book Is For Programmers new to artificial intelligence, but with a fundamental grasp of Python.



A Beginner S Guide To Generative Ai


A Beginner S Guide To Generative Ai
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Author : Deepshikha Bhati
language : en
Publisher: Springer Nature
Release Date : 2025-08-22

A Beginner S Guide To Generative Ai written by Deepshikha Bhati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Computers categories.


This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative technologies of our time. Designed for beginners and requiring no prior knowledge of AI, this book breaks down the fundamentals of generative AI, from text and image generation to the workings of models like ChatGPT and Google Bard. The authors provide step-by-step coverage of the essential concepts and techniques that power generative AI. From the basics of how machines learn to generate text and images, to the intricate workings of models like Transformers, ChatGPT, and Google Bard, readers will gain a solid foundation in AI's most cutting-edge tools. Rather than focusing on a single method, the authors introduce a spectrum of generative modeling techniques, including diffusion models, variational autoencoders, and transformers. This comprehensive exposure ensures readers will be well-prepared to understand and adapt to the rapidly evolving AI landscape. In addition, real-world applications of generative AI across various industries are explored including healthcare innovations, business analytics, and legal technology, and the authors provide practical insights and examples that show how generative AI is revolutionizing these fields.