Generative Ai In Practice
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Generative Ai In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-26
Generative Ai 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 2024-03-26 with Business & Economics categories.
An indispensable look at the next frontier of technological advancement and its impact on our world Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do. In this book, Marr sheds light on the most innovative real-world GenAI applications through practical examples, describing how they are moulding industries like retail, healthcare, education, finance, and beyond. You'll enjoy a captivating discussion of innovations in media and entertainment, seismic shifts in advertising, and the future trajectory of GenAI. You will: Navigate the complex landscapes of risks and challenges posed by Generative AI Delve into the revolutionary transformation of the job market in the age of GenAI Understand AI's transformative impact on education, healthcare, and retail Explore the boundless potentials in media, design, banking, coding, and even the legal arena Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools available today.
Generative Ai In Practice A Comprehensive Guide To Techniques And Applications
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Generative Ai In Practice A Comprehensive Guide To Techniques And Applications written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This comprehensive guide dives deep into the world of Generative AI, a revolutionary field where AI creates entirely new things. Go beyond traditional AI methods and discover how Generative AI can revolutionize industries, empower creativity, and shape the future. Here's what you'll find inside: Breakthrough Techniques: Explore prominent methods like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in a clear and engaging way. Real-World Applications: Witness the transformative impact of Generative AI across various sectors, from accelerating drug discovery in healthcare to automating code generation in software development. The Power of Creation: Discover how Generative AI can fuel creativity in design, content creation, and education, offering inspiration and boosting efficiency. Generative AI in Practice equips you with the knowledge to harness this groundbreaking technology: Essential Tools and Platforms: Learn about popular generative AI tools and platforms readily available for you to explore and experiment with. Seamless Integration: Discover strategies to integrate Generative AI seamlessly into your existing workflows, maximizing its impact. The Ethical Landscape: Address crucial considerations surrounding data bias, fairness, and the responsible development of Generative AI. This book empowers you to: Understand the core concepts of Generative AI and its potential to create entirely new data formats. Implement generative techniques to automate tasks, enhance creative processes, and solve problems in your field. Become a responsible user of Generative AI, fostering innovation while considering ethical implications. Generative AI in Practice is your one-stop guide to understanding, implementing, and harnessing the power of Generative AI, whether you're a business leader, a creative professional, a developer, or simply curious about the future of technology.
Generative Ai
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Author : Keith Hudson
language : en
Publisher: Independently Published
Release Date : 2024-07-03
Generative Ai written by Keith Hudson and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-03 with Computers categories.
Discover the transformative power of Generative AI with this comprehensive guide. From theory to practice, "Generative AI: Unleashing Creativity through Artificial Intelligence" equips you with the knowledge to build, deploy, and profit from cutting-edge AI technology. Whether you're a novice or seasoned professional, dive into the core concepts of neural networks, GANs, VAEs, and transformers. Learn essential techniques for data collection, model training, and evaluation, and explore diverse applications from art and music generation to text and video creation. Navigate ethical considerations, legal implications, and strategies for leveraging Generative AI in business and innovation. Embrace the future of AI creativity and unlock limitless possibilities with this definitive guide.
Generative Ai In Action
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Author : Amit Bahree
language : en
Publisher: Simon and Schuster
Release Date : 2024-11-26
Generative Ai In Action written by Amit Bahree 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 2024-11-26 with Computers categories.
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools
Generative Ai For Students
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Author : David Meechan
language : en
Publisher:
Release Date : 2025-01-11
Generative Ai For Students written by David Meechan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Education categories.
Your essential guide to using artificial intelligence (AI) for study at university.
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.
From Ai Literacy To Generative Ai Literacy
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Author : Davy Tsz Kit Ng
language : en
Publisher: Springer
Release Date : 2025-11-09
From Ai Literacy To Generative Ai Literacy written by Davy Tsz Kit Ng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-09 with Education categories.
This book presents a scoping review and critical discussion of generative artificial intelligence (AI) literacy within the context of education. The first section explores how generative AI technologies—such as text generation, image synthesis, and video content creation—impact teaching and learning processes, student engagement, creativity, and critical thinking. The second section addresses the implications and challenges of integrating generative AI into the everyday lives of both young and adult learners, with a focus on ethical considerations, privacy concerns, and potential biases. The third section offers recommendations for policymakers, researchers, and practitioners, along with questionnaires designed to assess generative AI literacy. Through the use of scoping review methodology, the book provides readers with a comprehensive understanding of the current landscape of generative AI literacy in education, as well as the broader impacts and applications of generative AI technologies in educational settings.
Generative Ai And Creativity
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Author : Elakkiya Rajasekar
language : en
Publisher: CRC Press
Release Date : 2025-11-25
Generative Ai And Creativity written by Elakkiya Rajasekar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-25 with Computers categories.
Generative AI and Creativity: From Theory to Practice is an immersive exploration into the revolutionary domain of generative artificial intelligence. It takes a step-by-step journey starting with the fundamentals of generative AI and progressing to advanced applications. The book unravels the complexities of generative models, delving into key techniques such as generative adversarial networks (GANs) and variational autoencoders (VAE)s, providing a solid foundation for readers to understand the underlying principles. FEATURES • Explores the collaboration between humans and AI in creative processes • Examines generative art movements, graphic design applications, and artist-AI collaborations • Defines creativity in AI, by showcasing case studies and discussing ethical considerations Moving beyond creative content generation in art and music to practical implementations in industries like healthcare and finance, the book showcases the versatility and transformative potential of generative AI across diverse domains. Readers will gain practical skills through coding examples, case studies, and collaborative projects, empowering them to integrate generative AI into their own work. The book is enriched with stories of innovation, featuring pioneers who have leveraged generative AI to push the boundaries of creativity. Ethical considerations and the societal impact of generative AI are also explored to foster a holistic understanding of the technology.
The Case For Generative Ai In Scholarly Practice
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Author : Chris Berg
language : en
Publisher:
Release Date : 2023
The Case For Generative Ai In Scholarly Practice written by Chris Berg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
This paper defends the use of generative artificial intelligence (AI) in scholarship and argues for its legitimacy as a valuable tool for contemporary research practice. It uses a emergent property rights model of writing to shed light on the evolution of scholarly norms and practices in academic practice. The paper argues that generative AI extends the capital-intensive nature of modern academic writing. The paper discussing three potential uses for AI models in research practice: AI as a mentor, AI as an analytic tool, and AI as a writing tool. The paper considers how the use of generative AI interacts with two critical norms in scholarship: norms around authorship attribution and credits for contributions, and the norm against plagiarism. It concludes that the effective use of generative AI is a legitimate research practice for scholars seeking to experiment with new technologies that might enhance their productivity.
Generative Ai In Higher Education Assessment
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Author : Mohamed Lahby
language : en
Publisher: Springer
Release Date : 2025-10-15
Generative Ai In Higher Education Assessment written by Mohamed Lahby and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-15 with Education categories.
This book examines the rapidly evolving role of generative artificial intelligence (GenAI) in higher education assessment, with particular emphasis on its theoretical foundations, practical implementations, and ethical implications. It includes case studies on AI-supported assessment practices from a range of international contexts. The volume is structured into three parts: an overview of GenAI in educational assessment, its application across diverse educational settings, and a collection of case studies and practical implementations in higher education. The first part of the book provides an overview of how generative AI is transforming educational assessment, particularly in shaping the perceptions and practices of early-career teachers. The second part centers on personalization, showcasing AI-driven frameworks that utilize digital twins in immersive environments, GenAI-created math assessments, and novel tools for formative self-assessment. The final part of the book presents international case studies that bring GenAI’s influence into real-world educational contexts—from ESL instruction and STEM curriculum design to privacy concerns and regulatory frameworks. By addressing both the transformative opportunities and the practical challenges posed by generative AI (GenAI) in educational assessment, this book offers a timely and essential resource for educators, researchers, and policymakers. It aims to deepen understanding of how AI can be responsibly harnessed to innovate and improve academic assessment practices.