Generative Artificial Intelligence

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 313 pages
File Size : 52,7 Mb
Release : 2024-03-25
Category : Business & Economics
ISBN : 9781394245567

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Generative AI in Practice by Bernard Marr Pdf

Dive into the future as we journey through the next frontier of technological advancement Generative AI isn't just the biggest trend right now; it's the pinnacle of today's technological evolution. Beyond the capabilities of ChatGPT and similar AIs that can generate written content and artwork, GenAI is rewriting the rulebook. From crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs, the horizons are limitless. Picture a world where your daily news is read by your favorite celebrity, where video games conjure unparalleled universes in real-time, where machines concoct groundbreaking medicines, and where literature and courses are tailored flawlessly for you. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide not only introduces the uninitiated to this groundbreaking technology but outlines the profound and unprecedented impact of GenAI on the fabric of business and society. It's set to redefine all our jobs, revolutionize business operations, and question the very foundations of existing business models. Beyond merely altering, GenAI promises to elevate the products and services at the heart of enterprises and intricately weave itself into the tapestry of our daily lives. Through 19 enriching chapters, Marr canvases a vast array of sectors, shedding light on the most innovative real-world GenAI applications through practical examples and how they are molding the contours of various industries including retail, healthcare, education, and finance. Marr discusses the exciting innovations in media and entertainment to the seismic shifts in advertising, customer engagement and beyond, but also critically addresses the risks, challenges, and the future trajectory of GenAI. Throughout the pages of this book, you will: Navigate the complex landscapes of risks and challenges posed by GenAI. Delve into the revolutionary transformation of the job market in the age of GenAI. Discover how retail is evolving with virtual try-ons and AI-powered personalization. Dive deep into the transformative impact on education, offering truly personalized learning experiences. Witness the metamorphosis of healthcare, from AI-aided drug discoveries to custom advice. 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 and its monumental impact on our world, 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 in the appendix.

Author : JERRY. KAPLAN
Publisher : Oxford University Press
Page : 241 pages
File Size : 49,9 Mb
Release : 2024-02-19
Category : Electronic
ISBN : 9780197773543

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Generative Artificial Intelligence by JERRY. KAPLAN Pdf

Generative Artificial Intelligence: What Everyone Needs to Know Â(R) equips readers with the knowledge to answer pressing questions about the impact of generative artificial intelligence on every facet of society.

Author : John Zerilli
Publisher : MIT Press
Page : 233 pages
File Size : 43,9 Mb
Release : 2021-02-23
Category : Computers
ISBN : 9780262044813

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A Citizen's Guide to Artificial Intelligence by John Zerilli Pdf

A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.

Author : Zhihan Lyu
Publisher : Springer Nature
Page : 607 pages
File Size : 45,8 Mb
Release : 2024-06-09
Category : Electronic
ISBN : 9783031462382

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Applications of Generative AI by Zhihan Lyu Pdf

Author : Martin Musiol
Publisher : John Wiley & Sons
Page : 315 pages
File Size : 42,5 Mb
Release : 2023-01-08
Category : Business & Economics
ISBN : 9781394205943

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Generative AI by Martin Musiol Pdf

An engaging and essential discussion of generative artificial intelligence In Generative AI: Navigating the Course to the Artificial General Intelligence Future, celebrated author Martin Musiol—founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys—delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space. Musiol analyzes complex and foundational topics in generative AI, breaking them down into straightforward and easy-to-understand pieces. You'll also find: Bold predictions about the future emergence of Artificial General Intelligence via the merging of current AI models Fascinating explorations of the ethical implications of AI, its potential downsides, and the possible rewards Insightful commentary on Autonomous AI Agents and how AI assistants will become integral to daily life in professional and private contexts Perfect for anyone interested in the intersection of ethics, technology, business, and society—and for entrepreneurs looking to take advantage of this tech revolution—Generative AI offers an intuitive, comprehensive discussion of this fascinating new technology.

Author : DAVID M. PATEL.
Publisher : Unknown
Page : 0 pages
File Size : 49,5 Mb
Release : 2023
Category : Electronic
ISBN : 9798850705527

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ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS by DAVID M. PATEL. Pdf

Author : I. Almeida
Publisher : Now Next Later AI
Page : 267 pages
File Size : 45,5 Mb
Release : 2023-06
Category : Business & Economics
ISBN : 9780645510560

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Artificial Intelligence Fundamentals for Business Leaders by I. Almeida Pdf

2024 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically. Book and Course Learning Rubric - Chapters 1-7: Understanding of AI [11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence. - Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management. - Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project. - Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks. - Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making. - Chapters 41-50: Understanding of Generative AI [15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges. Assignment: Practical Application [15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.

Author : Numa Dhamani
Publisher : Simon and Schuster
Page : 334 pages
File Size : 48,6 Mb
Release : 2024-03-05
Category : Computers
ISBN : 9781638354345

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Introduction to Generative AI by Numa Dhamani Pdf

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

Author : Shivam Solanki,DRUPAD KUMAR KHUBLANI
Publisher : Apress
Page : 0 pages
File Size : 50,8 Mb
Release : 2024-10-18
Category : Mathematics
ISBN : 9798868804021

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Generative Artificial Intelligence by Shivam Solanki,DRUPAD KUMAR KHUBLANI Pdf

This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will Learn What is Generative Artificial Intelligence? What are text-to-image synthesis techniques and conditional image generation? What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques? What are text-to-video models and how do you tune them? What are large language models, and how do you tune them? Who This Book Is For Those with intermediate to advanced technical knowledge in artificial intelligence and machine learning

Author : Anand Vemula
Publisher : Anand Vemula
Page : 23 pages
File Size : 46,8 Mb
Release : 2024-06-09
Category : Computers
ISBN : 8210379456XXX

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Generative AI Explained: Your Essential Guide by Anand Vemula Pdf

"Generative AI Explained: Your Essential Guide" offers a clear and concise introduction to the world of generative artificial intelligence (AI). Authored by experts in the field, this handbook provides readers with a comprehensive understanding of the principles, applications, and implications of generative AI technology. The book begins by demystifying the concept of generative AI, explaining how it differs from other forms of AI and detailing its underlying mechanisms. Readers are guided through key concepts such as neural networks, machine learning, and deep learning, gaining insights into how these technologies enable machines to generate new content autonomously. From there, the handbook delves into practical applications of generative AI across various industries. Through real-world examples and case studies, readers discover how generative AI is being used to create art, music, literature, and even video games. Additionally, the book explores its applications in fields like healthcare, finance, and marketing, highlighting the transformative impact it is having on society. Furthermore, the handbook addresses important ethical and societal considerations surrounding generative AI. Readers are encouraged to critically examine issues such as bias, privacy, and the implications of AI-generated content on human creativity and employment. Throughout the book, complex technical concepts are explained in a clear and accessible manner, making it suitable for readers with varying levels of technical expertise. Whether you're a student, researcher, developer, or simply curious about the future of AI, "Generative AI Explained" serves as an invaluable resource for understanding the fundamentals of this rapidly evolving field. In summary, "Generative AI Explained: Your Essential Guide" offers a comprehensive yet approachable exploration of generative artificial intelligence, equipping readers with the knowledge and insights needed to navigate the increasingly AI-driven world.

Author : Ara, Aftab,Ara, Affreen
Publisher : IGI Global
Page : 314 pages
File Size : 48,9 Mb
Release : 2024-04-04
Category : Computers
ISBN : 9798369315668

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Exploring the Ethical Implications of Generative AI by Ara, Aftab,Ara, Affreen Pdf

Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

Author : Tony Jebara
Publisher : Springer Science & Business Media
Page : 213 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781441990112

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Machine Learning by Tony Jebara Pdf

Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two schools of thought together within a common framework, elegantly connecting their various theories and making one common big-picture. Also, this bridge brings forth new hybrid discriminative-generative tools that combine the strengths of both camps. This book serves multiple purposes as well. The framework acts as a scientific breakthrough, fusing the areas of generative and discriminative learning and will be of interest to many researchers. However, as a conceptual breakthrough, this common framework unifies many previously unrelated tools and techniques and makes them understandable to a larger portion of the public. This gives the more practical-minded engineer, student and the industrial public an easy-access and more sensible road map into the world of machine learning. Machine Learning: Discriminative and Generative is designed for an audience composed of researchers & practitioners in industry and academia. The book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Author : Jovan Pehcevski
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2023-12
Category : Electronic
ISBN : 1774699206

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Generative AI Models by Jovan Pehcevski Pdf

The generative AI is especially powerful in several areas, such as text generation (product description, article writing), image and video generation (AI-generated pictures and videos for marketing industry), and voice and sound generation (for film industry). This book edition covers different topics of generative AI models, including: image generation techniques, video generation techniques, speech / voice generation techniques, and societal and ethical issues of these models.

Author : Victor Hugo C. de Albuquerque,Pethuru Raj,Satya Prakash Yadav
Publisher : Walter de Gruyter GmbH & Co KG
Page : 424 pages
File Size : 55,7 Mb
Release : 2023-11-06
Category : Computers
ISBN : 9783111323749

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Toward Artificial General Intelligence by Victor Hugo C. de Albuquerque,Pethuru Raj,Satya Prakash Yadav Pdf

Author : Vaibhav Verdhan
Publisher : Manning
Page : 250 pages
File Size : 53,5 Mb
Release : 2022-05-31
Category : Computers
ISBN : 1617298727

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Models and Algorithms for Unlabeled Data by Vaibhav Verdhan Pdf

Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems. Models and Algorithms for Unlabeled Data introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You’ll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines. You’ll learn the business use case for different models, and master best practices for structured, text, and image data. Each new algorithm is introduced with a case study for retail, aviation, banking, and more—and you’ll develop a Python solution to fix each of these real-world problems. At the end of each chapter, you’ll find quizzes, practice datasets, and links to research papers to help you lock in what you’ve learned and expand your knowledge. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.