The Power of OpenAI Sora: Transforming Text into Video


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.




OpenAI's Sora


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.




Mastering DevOps on Microsoft Power Platform


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.




The AI Value Playbook


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.




Marketing Artificial Intelligence


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.




Hands-On Q-Learning with Python


Book Description

Leverage the power of reward-based training for your deep learning models with Python Key FeaturesUnderstand Q-learning algorithms to train neural networks using Markov Decision Process (MDP)Study practical deep reinforcement learning using Q-NetworksExplore state-based unsupervised learning for machine learning modelsBook Description Q-learning is a machine learning algorithm used to solve optimization problems in artificial intelligence (AI). It is one of the most popular fields of study among AI researchers. This book starts off by introducing you to reinforcement learning and Q-learning, in addition to helping you get familiar with OpenAI Gym as well as libraries such as Keras and TensorFlow. A few chapters into the book, you will gain insights into modelfree Q-learning and use deep Q-networks and double deep Q-networks to solve complex problems. This book will guide you in exploring use cases such as self-driving vehicles and OpenAI Gym’s CartPole problem. You will also learn how to tune and optimize Q-networks and their hyperparameters. As you progress, you will understand the reinforcement learning approach to solving real-world problems. You will also explore how to use Q-learning and related algorithms in real-world applications such as scientific research. Toward the end, you’ll gain a sense of what’s in store for reinforcement learning. By the end of this book, you will be equipped with the skills you need to solve reinforcement learning problems using Q-learning algorithms with OpenAI Gym, Keras, and TensorFlow. What you will learnExplore the fundamentals of reinforcement learning and the state-action-reward processUnderstand Markov decision processesGet well versed with libraries such as Keras, and TensorFlowCreate and deploy model-free learning and deep Q-learning agents with TensorFlow, Keras, and OpenAI GymChoose and optimize a Q-Network’s learning parameters and fine-tune its performanceDiscover real-world applications and use cases of Q-learningWho this book is for If you are a machine learning developer, engineer, or professional who wants to delve into the deep learning approach for a complex environment, then this is the book for you. Proficiency in Python programming and basic understanding of decision-making in reinforcement learning is assumed.




Python Reinforcement Learning


Book Description

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key FeaturesYour entry point into the world of artificial intelligence using the power of PythonAn example-rich guide to master various RL and DRL algorithmsExplore the power of modern Python libraries to gain confidence in building self-trained applicationsBook Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL. By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems. This Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan RavichandiranPython Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa ShanmugamaniWhat you will learnTrain an agent to walk using OpenAI Gym and TensorFlowSolve multi-armed-bandit problems using various algorithmsBuild intelligent agents using the DRQN algorithm to play the Doom gameTeach your agent to play Connect4 using AlphaGo ZeroDefeat Atari arcade games using the value iteration methodDiscover how to deal with discrete and continuous action spaces in various environmentsWho this book is for If you’re an ML/DL enthusiast interested in AI and want to explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected.




Attention Factory


Book Description

How did Tik Tok rise so fast? Who's really behind China's first truly global internet giant? In 2012, ByteDance was just a handful of geeks working out of a scrappy four-bedroom Beijing apartment. Today, it's the world's fastest-growing tech behemoth worth over $100 billion. Written by China internet specialist and internationally recognized speaker Matthew Brennan and edited by TechCrunch journalist Rita Liao. Attention Factory is packed with over 300 pages of original analysis and exclusive reporting that you cannot find elsewhere. The rise and fall of Vine and Musical.ly The company's iconic founder, Zhang Yiming The original China version of TikTok--Douyin ByteDance's first flagship app, Toutiao The power of short video memes And so much more... Discover how recommendation engines, content operations, and good old China-style growth hacking hold the key to this company's success. A creative blend of storytelling and analysis, Attention Factory is perfect for business professionals, technology firm investors, and anyone passionate about how the internet is impacting our lives. Get it now.




Jefferson Himself


Book Description




Art of the Cut


Book Description

This is the second volume of the widely acclaimed Art of the Cut book published in 2017. This follow-up text expands on its predecessor with wisdom from more than 360 interviews with the world’s best editors (including nearly every Oscar winner from the last 30 years). Because editing is a highly subjective art form, and one that is critical to the success of motion picture storytelling, it requires side-by-side comparisons of the many techniques and solutions used by a wide range of editors from around the world. That is why this book compares and contrasts methodologies from a wide array of diverse voices and organizes that information so that it is easily digested and understood. There is no one way to approach editorial problems, so this book allows readers to see multiple solutions from multiple editors. The interviews contained within are carefully curated into topics that are most important to film editors and those who aspire to become film editors. The questions asked, and the organization of the book, are not merely an academic or theoretical view of the art of editing but rather the practical advice and methodologies of actual working film and TV editors, bringing benefits to both students and professional readers. The book is supplemented by a collection of downloadable online exclusive chapters, which cover additional topics ranging from Choosing the Project to VFX. In addition to the supplementary chapters, access to the full-color, full-resolution images printed in the book—and other exclusive images—is included.