The Power of OpenAI Sora: Transforming Text into Video PDF Download
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Author: M.B. Chatfield
Publisher: M.B. Chatfield
ISBN:
Category : Computers
Languages : en
Pages : 72
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Book Description
Unleash the power of AI to create stunning, realistic videos with OpenAI Sora. OpenAI Sora is a groundbreaking new AI technology that allows you to generate photorealistic videos from text descriptions. With Sora, you can create any video you can imagine, from simple animations to complex, cinematic scenes. In this book, you will learn: The basics of OpenAI Sora and how it works The potential applications of Sora in business, education, entertainment, and more And much more! OpenAI Sora is the future of video production. With this book, you can be at the forefront of this exciting new technology.
Author: M.B. Chatfield
Publisher: M.B. Chatfield
ISBN:
Category : Computers
Languages : en
Pages : 72
Get Book Here
Book Description
Unleash the power of AI to create stunning, realistic videos with OpenAI Sora. OpenAI Sora is a groundbreaking new AI technology that allows you to generate photorealistic videos from text descriptions. With Sora, you can create any video you can imagine, from simple animations to complex, cinematic scenes. In this book, you will learn: The basics of OpenAI Sora and how it works The potential applications of Sora in business, education, entertainment, and more And much more! OpenAI Sora is the future of video production. With this book, you can be at the forefront of this exciting new technology.
Author: StoryBuddiesPlay
Publisher: StoryBuddiesPlay
ISBN:
Category : Computers
Languages : en
Pages : 74
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Book Description
Unveiling the Future of Video Creation: A Comprehensive Look at AI-Generated Video with "The Power of Text-to-Video" Are you ready to transform video creation? This groundbreaking book dives deep into the exciting world of AI-generated video, exploring its potential to revolutionize the way we tell stories and share ideas. Introducing Sora (hypothetical model): Imagine a powerful AI model that can translate your simple text descriptions into captivating and visually stunning videos. This book delves into the inner workings of Sora, explaining how it uses text-to-video generation to create everything from educational explainers to heart-wrenching narratives. Go Beyond the Basics: This comprehensive guide isn't just about the "what" – it's about the "how." Learn the art of crafting effective text prompts, the key to unlocking Sora's full potential. Explore practical tips and techniques to refine your prompts and generate high-quality videos that resonate with your audience. The Power of AI in Your Hands: Whether you're an educator, marketer, filmmaker, or simply someone with a story to tell, this book equips you with the knowledge and tools to leverage the power of AI video creation. Discover how Sora can transform various industries: Education: Create personalized and engaging learning experiences for students of all ages. Marketing & Business: Craft compelling video content that captures audience attention and drives results. Film & Animation: Streamline pre-production processes and explore new creative possibilities. A Responsible Future: This book doesn't shy away from the ethical considerations surrounding AI-generated video. Explore best practices for responsible use and the importance of transparency in a world where AI is blurring the lines between reality and imagination. Look to the Horizon: Peer into the exciting future of AI video creation. Imagine interactive video experiences, multilingual capabilities, and a seamless integration with other AI tools. This book paves the way for understanding the immense potential that lies ahead. Get Started Today: This book serves as your practical guide to using Sora (hypothetical model). Learn how to access the platform, navigate its features, and craft effective prompts that bring your vision to life. The Power of Text-to-Video is your one-stop resource for understanding and harnessing the transformative power of AI video creation. Embrace the future of storytelling, one video at a time.
Author: Uroš Kastelic
Publisher: Packt Publishing Ltd
ISBN: 1835880851
Category : Computers
Languages : en
Pages : 444
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Book Description
Learn from Microsoft Power Platform experts how to leverage GitHub, Azure DevOps, and GenAI tools like Microsoft Copilots to develop and deliver secure, enterprise-scale solutions Key Features Customize Power Platform for secure large-scale deployments with the help of DevSecOps practices Implement code-first fusion projects with ALM and infuse AI in Power Platform using copilots and ChatOps Get hands-on experience through real-world examples using Azure DevOps and GitHub Purchase of the print or Kindle book includes a free PDF eBook Book Description Mastering DevOps on Microsoft Power Platform is your guide to revolutionizing business-critical solution development. Written by two Microsoft Technology Specialists with extensive experience in enterprise-scale Power Platform implementations and DevOps practices, this book teaches you how to design, build, and secure efficient DevOps processes by adapting custom software development practices to the Power Platform toolset, dramatically reducing time, cost, and errors in app modernization and quality assurance. The book introduces application life cycle management (ALM) and DevOps-enabled architecture, design patterns, and CI/CD practices, showing you why companies adopt DevOps with Power Platform. You'll master environment and solution management using Dataverse, Git, the Power Platform CLI, Azure DevOps, and GitHub Copilot. Implementing the shift-left approach in DevSecOps using GitHub Advanced Security features, you’ll create a Power Platform tenant governed by controls, automated tests, and backlog management. You’ll also discover advanced concepts, such as fusion architecture, pro-dev extensibility, and AI-infused applications, along with tips to avoid common pitfalls. By the end of this book, you’ll be able to build CI/CD pipelines from development to production, enhancing the life cycle of your business solutions on Power Platform. What you will learn Gain insights into ALM and DevOps on Microsoft Power Platform Set up Power Platform pipelines and environments by leveraging best practices Automate, test, monitor, and secure CI/CD pipelines using DevSecOps tools, such as VS Code and GitHub Advanced Security, on Power Platform Enable pro-developer extensibility using fusion development to integrate Azure and Power Platform Provision enterprise landing zones and build well-architected workloads Discover GenAI capabilities in Power Platform and support ChatOps with the copilot stack Who this book is for If you are a DevOps engineer, cloud architect, site reliability engineer, solutions architect, software developer, or low-code engineer looking to master end-to-end DevSecOps implementation on Microsoft Power Platform from basic to advanced levels, this book is for you. Prior knowledge of software development processes and tools is necessary. A basic understanding of Power Platform and DevOps processes will also be beneficial.
Author: Lisa Weaver-Lambert
Publisher: Packt Publishing Ltd
ISBN: 1835467598
Category : Computers
Languages : en
Pages : 440
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Book Description
Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage Key Features Understand machine learning and generative AI terminology, concepts, and the AI technology stack. Learn from diverse real-world case studies narrated by business leaders in their own voice. Apply a value-driven approach to AI applications across multiple business sectors. Book DescriptionBusiness leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.What you will learn Fundamentals of AI concepts and the tech stack How AI works with real-world practical applications How to integrate into your company's overall strategy How to incorporate generative AI in your processes How to drive value with sector-wide examples How to organize an AI-driven operating model How to use AI for competitive advantage The dos and don'ts of AI application Who this book is for The AI Value Playbook is aimed at supporting non-technical executives and board members to quickly formulate a perspective on how to integrate AI. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof their business. It speaks to an audience interested in understanding how AI can drive value for their organisations.
Author: Yang Wang
Publisher: Springer Nature
ISBN: 3031771532
Category :
Languages : en
Pages : 111
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Book Description
Author: Kevin P. Murphy
Publisher: MIT Press
ISBN: 0262369303
Category : Computers
Languages : en
Pages : 858
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Book Description
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.
Author: Paul Roetzer
Publisher: BenBella Books
ISBN: 1637740794
Category : Business & Economics
Languages : en
Pages : 257
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Book Description
Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for.
Author: Ram Charan
Publisher: Random House
ISBN: 1473589061
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
From the million-copy-bestselling author of Execution 'Ingenious . . . An insightful and practical guide for leaders and practitioners at every level.' Forbes Welcome to the age of big tech. The old rules no longer apply. How do companies build a competitive advantage in the digital age? In this lively, accessible guide, Ram Charan - million-copy-bestselling author and advisor to some of the world's top CEOs - reveals that the tech giants have radically rewritten the rules of business. If you want to win, you need to learn to play a new game. Delving into the inner workings of the likes of Netflix, Amazon and Alibaba, Charan uncovers the six rules that the digital giants use to stay ahead: from their emphasis on creating corporate 'ecosystems', to the way they approach team organisation and moneymaking. And he outlines how to use these rules to transform your business, starting today. 'One of the world's preeminent counselors to CEOs.' Harvard Business Review 'The most influential consultant alive.' Fortune
Author: Thomas Jefferson
Publisher: University of Virginia Press
ISBN: 9780813903101
Category : Biography & Autobiography
Languages : en
Pages : 420
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Book Description
Author: Guy Lebanon
Publisher: Springer
ISBN: 9783319981482
Category : Computers
Languages : en
Pages : 0
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Book Description
This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics. The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge. Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing. The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.
