Generative Ai

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Generative AI in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 313 pages
File Size : 53,7 Mb
Release : 2024-03-26
Category : Business & Economics
ISBN : 9781394254248

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Generative AI in Practice by Bernard Marr Pdf

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 for Entrepreneurs in a Hurry

Author : Mohak Agarwal
Publisher : Notion Press
Page : 200 pages
File Size : 43,8 Mb
Release : 2023-02-27
Category : Business & Economics
ISBN : 9798889359708

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Generative AI for Entrepreneurs in a Hurry by Mohak Agarwal Pdf

Generative AI for Entrepreneurs in a Hurry is a comprehensive guide to understanding and leveraging AI to achieve success in the business world. Written by entrepreneur and AI expert, Mohak Agarwal, this book takes the reader on a journey of understanding how AI can be used to create powerful, high-impact strategies for success. With the rise of large language models like gpt-3, midjourney and chatGPT, Agarwal provides a comprehensive guide to leveraging these tools to create new business models and strategies. The book provides step-by-step guidance on how to leverage AI to create new opportunities in marketing, customer service, product development, and more. Generative AI for Entrereners in a Hurry is the perfect guide for entrepreneurs looking to take advantage of the power of AI. The book houses a list of more than 150 start-ups in the Generative AI space with details about the start-up like what they do founders and funding details

The Role of Generative AI in the Communication Classroom

Author : Elmoudden, Sanae,Wrench, Jason S.
Publisher : IGI Global
Page : 419 pages
File Size : 45,5 Mb
Release : 2024-02-12
Category : Education
ISBN : 9798369308325

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The Role of Generative AI in the Communication Classroom by Elmoudden, Sanae,Wrench, Jason S. Pdf

In an era marked by the rapid integration of Artificial Intelligence (AI) into our lives, the discourse surrounding its implications has intensified. The Role of Generative AI in the Communication Classroom is a pioneering book that delves into the multifaceted dimensions of AI, specifically focusing on OpenAI's revolutionary Chat Generative Pre-Trained Transformer (Chat GPT) and its profound influence on the landscape of communication education. This book navigates the intersection of technology, education, and ethics, shedding light on the imperative need for a collaborative approach to shape AI's evolution. AI's potential to reshape industries and human roles is undeniable. Rooted in the intricate workings of AI and its hallmark, Chat GPT, this book meticulously dissects the dynamic relationship between humans and machines. The discourse extends beyond technology and into the realm of education, asserting that the power to mold AI's trajectory cannot rest solely in the hands of developers. While revealing AI's transformative potential in the communication classroom, the book conscientiously explores ethical concerns and biases, fostering a balanced approach to its integration. This book is instrumental to the ongoing discourse on AI's role in education. The call for ethical considerations, inclusivity, and regulation serves as a guiding compass for educators, students, developers, and policymakers alike. The book ensures a holistic perspective on AI's integration by addressing privacy, citation, voice ownership, and overall digital ethics.

Generative AI in Teaching and Learning

Author : Hai-Jew, Shalin
Publisher : IGI Global
Page : 459 pages
File Size : 52,7 Mb
Release : 2023-12-05
Category : Education
ISBN : 9798369300756

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Generative AI in Teaching and Learning by Hai-Jew, Shalin Pdf

Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes.

Applications of Generative AI

Author : Zhihan Lyu
Publisher : Springer Nature
Page : 607 pages
File Size : 47,5 Mb
Release : 2024-06-10
Category : Electronic
ISBN : 9783031462382

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Applications of Generative AI by Zhihan Lyu Pdf

Introducing MLOps

Author : Mark Treveil,Nicolas Omont,Clément Stenac,Kenji Lefevre,Du Phan,Joachim Zentici,Adrien Lavoillotte,Makoto Miyazaki,Lynn Heidmann
Publisher : "O'Reilly Media, Inc."
Page : 171 pages
File Size : 52,7 Mb
Release : 2020-11-30
Category : Computers
ISBN : 9781098116422

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Introducing MLOps by Mark Treveil,Nicolas Omont,Clément Stenac,Kenji Lefevre,Du Phan,Joachim Zentici,Adrien Lavoillotte,Makoto Miyazaki,Lynn Heidmann Pdf

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Generative Deep Learning

Author : David Foster
Publisher : "O'Reilly Media, Inc."
Page : 360 pages
File Size : 53,9 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781492041894

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Generative Deep Learning by David Foster Pdf

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Generative AI with Python and TensorFlow 2

Author : Joseph Babcock,Raghav Bali
Publisher : Packt Publishing Ltd
Page : 489 pages
File Size : 45,8 Mb
Release : 2021-04-30
Category : Computers
ISBN : 9781800208506

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Generative AI with Python and TensorFlow 2 by Joseph Babcock,Raghav Bali Pdf

Fun and exciting projects to learn what artificial minds can create Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook Description Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI? In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks. There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment. Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation. What you will learnExport the code from GitHub into Google Colab to see how everything works for yourselfCompose music using LSTM models, simple GANs, and MuseGANCreate deepfakes using facial landmarks, autoencoders, and pix2pix GANLearn how attention and transformers have changed NLPBuild several text generation pipelines based on LSTMs, BERT, and GPT-2Implement paired and unpaired style transfer with networks like StyleGANDiscover emerging applications of generative AI like folding proteins and creating videos from imagesWho this book is for This is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.

The Potential of Generative AI

Author : Divit Gupta,Anushree Srivastava
Publisher : BPB Publications
Page : 418 pages
File Size : 51,5 Mb
Release : 2024-01-06
Category : Computers
ISBN : 9789355516725

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The Potential of Generative AI by Divit Gupta,Anushree Srivastava Pdf

Unveiling the power and potential of Generative AI for a limitless future KEY FEATURES ● Holistic and accessible journey into Generative AI. ● Indispensable guide for unleashing Generative AI potential. ● Transforming technology, business, art, and innovation, covering technological advancements and business optimization. DESCRIPTION The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems. Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products. This book explores the cutting-edge capabilities and potential of generative AI in the tech landscape. It will help you discover how generative AI can unlock new opportunities and enhance business operations. WHAT YOU WILL LEARN ● Learn about the different types of generative models, how they work, and their impact across various industries including healthcare, finance, and entertainment. ● Explore the creative potential of generative AI in art, music, and design. ● Develop Generative Adversarial Networks (GANs), with a focus on their architecture, training process, and real-world applications. ● Build and deploy generative models, ensuring readers to leverage this powerful technology. ● Perfect the art of generating text, images, music, and even code with AI, utilize your creative potential. WHO THIS BOOK IS FOR This book is for artists, programmers, musicians, designers, writers, researchers, entrepreneurs, scientists, Machine Learning practitioners and dreamers of all sorts. Generative AI awaits and is ready to transform your craft and empower your vision. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative AI in Industries 3. Fundamentals of Generative Models 4. Applications Across Industries 5. Creative Expression with Generative AI 6. Generative AI in Business and Innovation 7. Deep Dive into GANs 8. Building and Deploying Generative Models

Models and Algorithms for Unlabeled Data

Author : Vaibhav Verdhan
Publisher : Manning
Page : 250 pages
File Size : 49,9 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.

Generative AI on AWS

Author : Chris Fregly,Antje Barth,Shelbee Eigenbrode
Publisher : "O'Reilly Media, Inc."
Page : 312 pages
File Size : 45,5 Mb
Release : 2023-11-13
Category : Computers
ISBN : 9781098159191

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Generative AI on AWS by Chris Fregly,Antje Barth,Shelbee Eigenbrode Pdf

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. Apply generative AI to your business use cases Determine which generative AI models are best suited to your task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA) Align generative AI models to human values with reinforcement learning from human feedback (RLHF) Augment your model with retrieval-augmented generation (RAG) Explore libraries such as LangChain and ReAct to develop agents and actions Build generative AI applications with Amazon Bedrock

Introduction to Generative AI

Author : Numa Dhamani
Publisher : Simon and Schuster
Page : 334 pages
File Size : 51,6 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

A Citizen's Guide to Artificial Intelligence

Author : John Zerilli
Publisher : MIT Press
Page : 233 pages
File Size : 52,6 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.

Generative AI

Author : Martin Musiol
Publisher : John Wiley & Sons
Page : 315 pages
File Size : 50,7 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.

Ripples of Generative AI

Author : Jacob Emerson
Publisher : Unknown
Page : 0 pages
File Size : 46,5 Mb
Release : 2023-07-24
Category : Electronic
ISBN : 1088221610

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Ripples of Generative AI by Jacob Emerson Pdf

"Generative AI is the key to unlocking the potential of artificial intelligence. It will allow us to solve some of the world's biggest problems." - Demis Hassabis, CEO of DeepMind Imagine living in a world where the boundary between the virtual and the real is increasingly blurred. A world seamlessly intertwining with advanced technology and where Generative AI becomes a vital player. This new and dynamic technology may appear complex and elusive, but don't worry. It's like a maze, and you're about to get the key. With this key, you can unlock a world of endless opportunities. About the Author My name is Jacob Emerson. As an AI researcher, seasoned data scientist, passionate technology educator, and AI enthusiast, I have devoted years to delve into the intricate mechanisms of artificial intelligence. After extensive research and practical applications, I've garnered an in-depth understanding of the potential and profound societal impact of Generative AI. In this book, I encapsulate this wisdom, breaking down complex concepts into simple, digestible ideas that anyone can understand. What you can expect from this book: This book "Ripples of Generative AI - How Generative AI Impacts, Informs, and Transforms Our Lives" steers you through the evolution, significance, and ramifications of Generative AI in modern society. By exploring the pages of this book, you will: Uncover the rich history and groundbreaking advancements in Generative AI Grasp its wide-ranging applications, spanning from creative arts and design to groundbreaking healthcare solutions Delve into concrete examples and case studies, illustrating how Generative AI is reshaping our world Ascertain the ethical implications and regulatory considerations in implementing Generative AI Glossary section includes Key AI terms, Popular generative AI models and AI websites But that's just the tip of the iceberg. Armed with this knowledge, you're better equipped to understand, comprehend and steer through the AI-driven future, be it in your personal pursuits, professional path, or broader societal engagements. Embark on this enlightening journey to understand the powerful ripples of Generative AI that are shaping our world.