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GenAI Black Book

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Release : 2024-05-24
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis GenAI Black Book by : Husn Ara

Download or read book GenAI Black Book written by Husn Ara. This book was released on 2024-05-24. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the "GenAI Black Book", an extensive guide crafted to unravel the fascinating world of Generative Artificial Intelligence (GenAI). As we stand on the cusp of a technological revolution, the ability of AI to create, innovate, and transform is becoming increasingly profound. This book is designed to be your comprehensive companion on this journey, whether you are a novice taking your first steps into AI or an experienced practitioner looking to deepen your understanding. The Dawn of Generative AI Generative AI represents a pivotal advancement in the field of artificial intelligence, enabling machines to generate text, images, music, and more, with creativity and coherence that often rival human outputs. From generating realistic images to crafting compelling narratives, the applications of GenAI are as diverse as they are groundbreaking. This book aims to demystify these technologies, providing clear explanations, practical examples, and insightful discussions on their implications. The book begins with an introduction to the fundamental concepts of generative AI, providing readers with a solid understanding of the underlying principles and methodologies. It covers various generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, elucidating their architectures, training procedures, and real-world use cases. As readers progress through the chapters, they are introduced to advanced topics such as conditional generation, multimodal generation, unsupervised learning, LLM, LLAMA, Prompt Engineering and Retrieval-Augmented Generation (RAG) Framework, gaining hands-on experience through code examples and tutorials. The book also explores cutting-edge research and emerging trends in the field, offering insights into the future directions of generative AI. With practical guidance and actionable insights, "GenAI Black Book " equips readers with the knowledge and skills needed to harness the power of generative AI for a wide range of applications, including art generation, content creation, natural language processing, and more. Whether you're a data scientist, AI enthusiast, or industry professional, this book serves as an invaluable resource for mastering the art and science of generative AI. A Commitment to Responsible AI As we explore the boundless potential of Generative AI, it is imperative to acknowledge and address the ethical and societal impacts of these technologies. The "GenAI Black Book" is committed to fostering a responsible and ethical approach to AI development and deployment, ensuring that these powerful tools are used to benefit society at large. For the Reader This book is designed to be accessible to a wide audience. Each chapter builds upon the previous ones, making it suitable for both self-study and academic use. Code examples are provided in Python, leveraging popular libraries such as Hugging Face's Transformers, to offer hands-on experience with implementing GenAI systems. We hope that the "GenAI Black Book" will inspire, educate, and empower you to explore the exciting possibilities of Generative AI. Whether you aim to develop cutting-edge applications, contribute to research, or simply satisfy your curiosity, this book is your gateway to understanding and mastering Generative AI. Welcome to the future of creativity and innovation. Welcome to the "GenAI Black Book".

Ahead in the Cloud

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Release : 2018-03-27
Genre :
Kind : eBook
Book Rating : 318/5 ( reviews)

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Book Synopsis Ahead in the Cloud by : Stephen Orban

Download or read book Ahead in the Cloud written by Stephen Orban. This book was released on 2018-03-27. Available in PDF, EPUB and Kindle. Book excerpt: Cloud computing is the most significant technology development of our lifetimes. It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones's journey toward digital agility as their CIO and now leads AWS's Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn't, and how enterprises can transform themselves using the cloud.

Deep Learning

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Release : 2016-11-10
Genre : Computers
Kind : eBook
Book Rating : 371/5 ( reviews)

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Book Synopsis Deep Learning by : Ian Goodfellow

Download or read book Deep Learning written by Ian Goodfellow. This book was released on 2016-11-10. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Accelerate

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Release : 2018-03-27
Genre : Business & Economics
Kind : eBook
Book Rating : 355/5 ( reviews)

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Book Synopsis Accelerate by : Nicole Forsgren, PhD

Download or read book Accelerate written by Nicole Forsgren, PhD. This book was released on 2018-03-27. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the Shingo Publication Award Accelerate your organization to win in the marketplace. How can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter―that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance―and what drives it―using rigorous statistical methods. This book presents both the findings and the science behind that research, making the information accessible for readers to apply in their own organizations. Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance. This book is ideal for management at every level.

The Art of Business Value

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Release : 2016-04-07
Genre : Business & Economics
Kind : eBook
Book Rating : 053/5 ( reviews)

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Book Synopsis The Art of Business Value by : Mark Schwartz

Download or read book The Art of Business Value written by Mark Schwartz. This book was released on 2016-04-07. Available in PDF, EPUB and Kindle. Book excerpt: Do you really understand what business value is? Information technology can and should deliver business value. But the Agile literature has paid scant attention to what business value means—and how to know whether or not you are delivering it. This problem becomes ever more critical as you push value delivery toward autonomous teams and away from requirements “tossed over the wall” by business stakeholders. An empowered team needs to understand its goal! Playful and thought-provoking, The Art of Business Value explores what business value means, why it matters, and how it should affect your software development and delivery practices. More than any other IT delivery approach, DevOps (and Agile thinking in general) makes business value a central concern. This book examines the role of business value in software and makes a compelling case for why a clear understanding of business value will change the way you deliver software. This book will make you think deeply about not only what it means to deliver value but also the relationship of the IT organization to the rest of the enterprise. It will give you the language to discuss value with the business, methods to cut through bureaucracy, and strategies for incorporating Agile teams and culture into the enterprise. Most of all, this book will startle you into new ways of thinking about the cutting-edge of Agile practice and where it may lead.

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