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The Potential of Generative AI

Author : Divit Gupta
Publisher : BPB Publications
ISBN 13 : 935551672X
Total Pages : 418 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis The Potential of Generative AI by : Divit Gupta

Download or read book The Potential of Generative AI written by Divit Gupta and published by BPB Publications. This book was released on 2024-01-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Generative AI in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1394245564
Total Pages : 313 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Generative AI in Practice by : Bernard Marr

Download or read book Generative AI in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2024-03-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Generative AI

Author : Numa Dhamani
Publisher : Simon and Schuster
ISBN 13 : 1633437191
Total Pages : 334 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Introduction to Generative AI by : Numa Dhamani

Download or read book Introduction to Generative AI written by Numa Dhamani and published by Simon and Schuster. This book was released on 2024-02-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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

Generative AI on AWS

Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098159187
Total Pages : 323 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Generative AI on AWS by : Chris Fregly

Download or read book Generative AI on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2023-11-13 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Generative AI Business Applications

Author : David E. Sweenor
Publisher : TinyTechMedia LLC
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.9/5 (893 download)

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Book Synopsis Generative AI Business Applications by : David E. Sweenor

Download or read book Generative AI Business Applications written by David E. Sweenor and published by TinyTechMedia LLC. This book was released on 2024-01-31 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations? With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI. The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™

Generative Deep Learning

Author : David Foster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109813415X
Total Pages : 456 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Generative Deep Learning by : David Foster

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2022-06-28 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.

Artificial Intelligence Fundamentals for Business Leaders

Author : I. Almeida
Publisher : Now Next Later AI
ISBN 13 : 0645510564
Total Pages : 267 pages
Book Rating : 4.6/5 (455 download)

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Book Synopsis Artificial Intelligence Fundamentals for Business Leaders by : I. Almeida

Download or read book Artificial Intelligence Fundamentals for Business Leaders written by I. Almeida and published by Now Next Later AI. This book was released on 2023-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Ripples of Generative AI

Author : Jacob Emerson
Publisher :
ISBN 13 : 9781088221617
Total Pages : 0 pages
Book Rating : 4.2/5 (216 download)

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Book Synopsis Ripples of Generative AI by : Jacob Emerson

Download or read book Ripples of Generative AI written by Jacob Emerson and published by . This book was released on 2023-07-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Generative AI with Python and TensorFlow 2

Author : Joseph Babcock
Publisher : Packt Publishing Ltd
ISBN 13 : 1800208502
Total Pages : 489 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Generative AI with Python and TensorFlow 2 by : Joseph Babcock

Download or read book Generative AI with Python and TensorFlow 2 written by Joseph Babcock and published by Packt Publishing Ltd. This book was released on 2021-04-30 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hyperautomation with Generative AI

Author : Navdeep Singh Gill
Publisher : BPB Publications
ISBN 13 : 9355518595
Total Pages : 368 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Hyperautomation with Generative AI by : Navdeep Singh Gill

Download or read book Hyperautomation with Generative AI written by Navdeep Singh Gill and published by BPB Publications. This book was released on 2023-09-26 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand how to leverage Hyperautomation and Generative AI to accelerate Business Transformation KEY FEATURES ● Explores a wide range of use cases and examples that demonstrate the diverse applications of Hyperautomation across industries, sectors, and specific departments. ● Familiarizes you with popular tools and platforms like UiPath, Automation Anywhere, and IBM. ● Discovers how existing organizations utilizing AI and RPA technologies can leverage Hyper automation to rapidly expand automation initiatives across various business verticals. ● Rise of Generative AI and its Tectonic Shift in industries and technologies. DESCRIPTION Hyperautomation and Generative AI, when combined, can create powerful new capabilities for businesses. If you are a business leader looking to improve your productivity, efficiency, and customer satisfaction by adopting hyperautomation and generative AI technologies, then this book is for you. This book provides an introduction to hyperautomation, highlighting its key components and providing guidance on how organizations can implement it to streamline everyday business operations. The book covers a comprehensive range of use cases and examples that demonstrate the diverse applications of hyperautomation across industries, sectors, and specific departments within companies. It also familiarizes you with popular tools and platforms like UiPath, Automation Anywhere, and IBM, enabling them to make informed decisions when selecting the appropriate technology for their digital transformation endeavors. Lastly, the book illustrates how existing organizations that are already utilizing AI and RPA technologies can leverage hyperautomation to rapidly expand their automation initiatives throughout various business verticals. By the end of the book, you will have a deep understanding of the potential of hyperautomation and generative AI to transform businesses. WHAT YOU WILL LEARN ● Understand the importance of developing the necessary talent, skillset, and IT infrastructure for successful Hyperautomation implementation. ● Explore different strategies for scaling automation initiatives across different business verticals. ● Understand how to solve diverse business problems using Hyperautomation through a high-level plan. ● Understanding the essential technologies like AI, machine learning, and deep learning and their contributions to Hyperautomation. ● Understand the benefits of using Hyperautomation with Generative AI. WHO THIS BOOK IS FOR This book is for professionals who are interested in automation and Generative AI. It covers the development and execution of diverse business processes, and is relevant to a wide range of roles, including digital transformation consultants, CxOs, technical architects, AI engineers, enterprise architects, RPA engineers, and automation engineers. TABLE OF CONTENTS Section I: Automation and Its Necessity 1. The Realism of Hyperautomation 2. Existence of Different Automations 3. Fundamentals of RPA Tools and Platforms 4. Amalgam of Hyperautomation and RPA Section II : Evolution of Automation to Hyperautomation via RPA 5. Devising Hyperautomation Solutions 6. Amalgam of Hyperautomation and Artificial Intelligence 7. Bridging AI with Humans 8. Impact of Machine Learning with Hyperautomation 9. Operationalizing Hyperautomation 10. Successful Use Cases of Hyperautomation Section III: Emergence of Generative AI and Its Collaboration with Hyperautomation 11. Generative AI and Hyperautomation

Generative AI: The Insights You Need from Harvard Business Review

Author : Harvard Business Review
Publisher : Harvard Business Press
ISBN 13 : 1647826403
Total Pages : 90 pages
Book Rating : 4.6/5 (478 download)

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Book Synopsis Generative AI: The Insights You Need from Harvard Business Review by : Harvard Business Review

Download or read book Generative AI: The Insights You Need from Harvard Business Review written by Harvard Business Review and published by Harvard Business Press. This book was released on 2024-01-30 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of AI is here. The world is transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear Gen AI will transform the business landscape, but when and how much remain to be seen. Meanwhile, your smartest competitors are already navigating the risks and reaping the rewards of these new technologies. They're experimenting with new business models around generating text, images, and code at astonishing speed. They're automating customer interactions in ways never before possible. And they're augmenting human creativity in order to innovate faster. How can you take advantage of generative AI and avoid having your business disrupted? Generative AI: The Insights You Need from Harvard Business Review will help you understand the potential of these new technologies, pick the right Gen AI projects, and reinvent your business for the new age of AI. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

Prompt Engineering for Generative AI

Author : James Phoenix
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098153405
Total Pages : 423 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Prompt Engineering for Generative AI by : James Phoenix

Download or read book Prompt Engineering for Generative AI written by James Phoenix and published by "O'Reilly Media, Inc.". This book was released on 2024-05-16 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. Learn how to empower AI to work for you. This book explains: The structure of the interaction chain of your program's AI model and the fine-grained steps in between How AI model requests arise from transforming the application problem into a document completion problem in the model training domain The influence of LLM and diffusion model architecture—and how to best interact with it How these principles apply in practice in the domains of natural language processing, text and image generation, and code

Rebooting AI

Author : Gary Marcus
Publisher : Vintage
ISBN 13 : 052556604X
Total Pages : 290 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Rebooting AI by : Gary Marcus

Download or read book Rebooting AI written by Gary Marcus and published by Vintage. This book was released on 2020-08-25 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better. “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Generative AI with Python and TensorFlow 2

Author : Joseph Babcock
Publisher :
ISBN 13 : 9781800200883
Total Pages : 488 pages
Book Rating : 4.2/5 (8 download)

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Book Synopsis Generative AI with Python and TensorFlow 2 by : Joseph Babcock

Download or read book Generative AI with Python and TensorFlow 2 written by Joseph Babcock and published by . This book was released on 2021-04-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with intriguing real-world projects as well as theory, Generative AI with Python and TensorFlow 2 enables you to leverage artificial intelligence creatively and generate human-like data in the form of speech, text, images, and music.

Artificial Intelligence Fundamentals for Business Leaders

Author : I. Almeida
Publisher : Byte-sized Learning
ISBN 13 : 9780648635949
Total Pages : 0 pages
Book Rating : 4.6/5 (359 download)

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Book Synopsis Artificial Intelligence Fundamentals for Business Leaders by : I. Almeida

Download or read book Artificial Intelligence Fundamentals for Business Leaders written by I. Almeida and published by Byte-sized Learning. This book was released on 2023-12-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This series delivers a solid foundation in the fundamentals of AI.

Generative Artificial Intelligence

Author : JERRY. KAPLAN
Publisher : Oxford University Press
ISBN 13 : 0197773540
Total Pages : 241 pages
Book Rating : 4.1/5 (977 download)

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Book Synopsis Generative Artificial Intelligence by : JERRY. KAPLAN

Download or read book Generative Artificial Intelligence written by JERRY. KAPLAN and published by Oxford University Press. This book was released on 2024-02-19 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Age of AI

Author : Henry A Kissinger
Publisher : Little, Brown
ISBN 13 : 0316274100
Total Pages : 192 pages
Book Rating : 4.3/5 (162 download)

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Book Synopsis The Age of AI by : Henry A Kissinger

Download or read book The Age of AI written by Henry A Kissinger and published by Little, Brown. This book was released on 2021-11-02 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society—and what this technology means for us all. An AI learned to win chess by making moves human grand masters had never conceived. Another AI discovered a new antibiotic by analyzing molecular properties human scientists did not understand. Now, AI-powered jets are defeating experienced human pilots in simulated dogfights. AI is coming online in searching, streaming, medicine, education, and many other fields and, in so doing, transforming how humans are experiencing reality. In The Age of AI, three leading thinkers have come together to consider how AI will change our relationships with knowledge, politics, and the societies in which we live. The Age of AI is an essential roadmap to our present and our future, an era unlike any that has come before.