Generative Ai

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Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."
ISBN 13 : 1492041890
Total Pages : 360 pages
Book Rating : 4.4/5 (92 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 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Models and Algorithms for Unlabeled Data

Author : Vaibhav Verdhan
Publisher : Manning
ISBN 13 : 9781617298721
Total Pages : 250 pages
Book Rating : 4.2/5 (987 download)

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Book Synopsis Models and Algorithms for Unlabeled Data by : Vaibhav Verdhan

Download or read book Models and Algorithms for Unlabeled Data written by Vaibhav Verdhan and published by Manning. This book was released on 2022-05-31 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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.

Decoding Generative AI

Author : Farabi Shayor
Publisher : IntelX Publishing
ISBN 13 : 173934989X
Total Pages : 137 pages
Book Rating : 4.7/5 (393 download)

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Book Synopsis Decoding Generative AI by : Farabi Shayor

Download or read book Decoding Generative AI written by Farabi Shayor and published by IntelX Publishing. This book was released on 2024-04-16 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of Generative AI has marked a significant turning point, heralding a new age of innovation and intellectual exploration. Much like a compelling narrative, this advancement in artificial intelligence has captivated the global community and ushered in an unprecedented surge of innovation. For many years, the subtle hum of AI has been interconnected into the fabric of our society. Devices such as Echo (Alexa) and Google Home, once considered avant-garde, are now seamlessly integrated into our homes and vehicles, becoming essential navigators in our daily journeys. However, this new phase of AI evolution is distinct. Capable of enhanced ability, these new generative AI systems could easily discern the intuitive needs of their end-users. With a mere command or a simple image, generative AI systems can draft comprehensive reports, write legal documents, or produce intricate visual masterpieces. Their proficiency can also be extended to routine and mundane tasks, smoothly managing administrative duties, writing correspondences, and providing invaluable support in professional settings. Although these foundation models require a vast amount of training data and billions of parameters to be effective, the outcomes are equally remarkable. Technology companies and investors, recognising the potential, embarked on an investment spree; steering a new era for the development of specialised models such as Microsoft CoPilot, Midjourney, ChatGPT, and so on. As these technology companies continue to improve their language models, each version seems to be more refined than its predecessor. Foremost among these are the Large Language Models (LLMs), emblematic of this AI renaissance. Now, with voice-activated capabilities, generative AIs have become capable of much more in the relatively short span of their existence. With the integration of voice-activated features, combined with their capabilities to speak like a human being, their potential continues to grow exponentially. They aren’t labelled as ‘chatbots’ anymore – these AI systems signify a technological paradigm shift, reshaping humanity’s understanding of technology, automation, and creative expression. However, with such shift comes the imperative need for governance and control. The unchecked expansion of AI poses unmitigated challenges. In reality, these advanced AIs have the potential to be transformative and destructive parallelly. Thus, it is necessary to establish guidelines and oversight to ensure the ethical deployment of such systems which this book focuses on. As society stands at this transformative crossroads, parallels are being drawn to the imaginative world of fiction. The concept of ‘Jarvis’ AI from the fictitious world appears provocatively close to becoming a reality. The epoch of generative AI has truly dawned, promising a future where technological prowess and human aspiration unite.

Generative AI in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1394254245
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 2024-03-26 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Exploring the Ethical Implications of Generative AI

Author : Ara, Aftab
Publisher : IGI Global
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Exploring the Ethical Implications of Generative AI by : Ara, Aftab

Download or read book Exploring the Ethical Implications of Generative AI written by Ara, Aftab and published by IGI Global. This book was released on 2024-04-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Generative AI for Entrepreneurs in a Hurry

Author : Mohak Agarwal
Publisher : Notion Press
ISBN 13 :
Total Pages : 200 pages
Book Rating : 4.8/5 (893 download)

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Book Synopsis Generative AI for Entrepreneurs in a Hurry by : Mohak Agarwal

Download or read book Generative AI for Entrepreneurs in a Hurry written by Mohak Agarwal and published by Notion Press. This book was released on 2023-02-27 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : IGI Global
ISBN 13 :
Total Pages : 419 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis The Role of Generative AI in the Communication Classroom by : Elmoudden, Sanae

Download or read book The Role of Generative AI in the Communication Classroom written by Elmoudden, Sanae and published by IGI Global. This book was released on 2024-02-12 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI by Design

Author : Catriona Campbell
Publisher : CRC Press
ISBN 13 : 1000554988
Total Pages : 161 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis AI by Design by : Catriona Campbell

Download or read book AI by Design written by Catriona Campbell and published by CRC Press. This book was released on 2022-03-14 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance.

Generative AI in Teaching and Learning

Author : Hai-Jew, Shalin
Publisher : IGI Global
ISBN 13 :
Total Pages : 459 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Generative AI in Teaching and Learning by : Hai-Jew, Shalin

Download or read book Generative AI in Teaching and Learning written by Hai-Jew, Shalin and published by IGI Global. This book was released on 2023-12-05 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Generative AI

Author : Numa Dhamani
Publisher : Simon and Schuster
ISBN 13 : 1638354340
Total Pages : 334 pages
Book Rating : 4.6/5 (383 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 2024-03-05 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. 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

Applications of Generative AI

Author : Zhihan Lyu
Publisher : Springer Nature
ISBN 13 : 3031462386
Total Pages : 607 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Applications of Generative AI by : Zhihan Lyu

Download or read book Applications of Generative AI written by Zhihan Lyu and published by Springer Nature. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Intelligence Revolution

Author : Bernard Marr
Publisher : Kogan Page Publishers
ISBN 13 : 1789664357
Total Pages : 225 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis The Intelligence Revolution by : Bernard Marr

Download or read book The Intelligence Revolution written by Bernard Marr and published by Kogan Page Publishers. This book was released on 2020-08-13 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is here to stay. No longer confined to the world of science fiction, AI has infiltrated the mainstream and is the new electricity for business. Bestselling author, Bernard Marr, shows you how to harness and integrate it with your business strategy. We all know about driverless cars, automated production lines and chatbots but how do you ensure your business keeps up and where do you start? Bestselling author and strategy guru, Bernard Marr, argues that AI absolutely applies to your business and explains how to design an AI strategy that will guarantee its success. The Intelligence Revolution explores the opportunities and challenges that come with this monumental new taskforce that is defining the new standards of business. Guiding us through intelligent products, services and work processes, The Intelligence Revolution illustrates how new technologies are impacting customer experience, product and service design and work efficiency. Bernard Marr delights us with fascinating case studies of businesses excelling at maximizing the potential of AI like Netflix, Autodesk, Disney, Rolls Royce and Amazon. Don't be left behind. Instead, discover how to turbocharge your business.

Scary Smart

Author : Mo Gawdat
Publisher : Bluebird
ISBN 13 : 9781529077650
Total Pages : 0 pages
Book Rating : 4.0/5 (776 download)

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Book Synopsis Scary Smart by : Mo Gawdat

Download or read book Scary Smart written by Mo Gawdat and published by Bluebird. This book was released on 2022-12-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Sunday Times Business Book of the Year. Scary Smart will teach you how to navigate the scary and inevitable intrusion of Artificial Intelligence, with an accessible blueprint for creating a harmonious future alongside AI. From Mo Gawdat, the former Chief Business Officer at Google [X] and bestselling author of Solve for Happy. Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. - Mo Gawdat Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predict outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong and cause harm? The answer is us: the human beings who write the code and teach AI to mimic our behaviour. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love, and the planet itself. 'No one ever regrets reading anything Mo Gawdat has written.' - Emma Gannon, author of The Multi-Hyphen Method and host of the podcast Ctrl Alt Delete

Generative AI Models

Author : Jovan Pehcevski
Publisher :
ISBN 13 : 9781774699201
Total Pages : 0 pages
Book Rating : 4.6/5 (992 download)

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Book Synopsis Generative AI Models by : Jovan Pehcevski

Download or read book Generative AI Models written by Jovan Pehcevski and published by . This book was released on 2023-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Generative AI on AWS

Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098159195
Total Pages : 312 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 312 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