Openais Sora
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| Author | : StoryBuddiesPlay |
| Publisher | : StoryBuddiesPlay |
| Total Pages | : 74 |
| Release | : 2024-06-07 |
| Genre | : Computers |
| ISBN | : |
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 | : Jeremy Kahn |
| Publisher | : Bedford Square Publishers |
| Total Pages | : 376 |
| Release | : 2024-08-01 |
| Genre | : Computers |
| ISBN | : 183501044X |
An urgent book on generative artificial intelligence exploring the risk and benefits looming in this seminal moment 'Easily the best exploration to date on the perils and promise of AI." —ASHLEE VANCE author of When the Heavens Went on Sale 'Mastering AI is a must-read. It's hard to put down'. —BETHANY McLEAN, coauthor of The Smartest Guys in the Room and The Big Fail ' A timely and urgent exploration of AI's dizzying acceleration' —BRAD STONE, author of The Everything Store The debut of ChatGPT on November 30th was a watershed moment in the history of technology. We stand on the threshold of a new age — one where content of all kinds, even software itself, will be conjured, seemingly from thin air, with simple conversation. In a culture fraught with misinformation, Mastering AI pierces through the thicket of exaggerated claims, explaining how we arrived at this moment and mapping the likely long-term impacts on business, economics, culture and society this potent technology will have. This book will serve as a guide to those dangers — as well as highlighting the technology's transformative potential — and will pinpoint concrete steps that should be taken to regulate generative AI.
| Author | : Oswald Campesato |
| Publisher | : Stylus Publishing, LLC |
| Total Pages | : 517 |
| Release | : 2024-09-17 |
| Genre | : Computers |
| ISBN | : 1501520601 |
This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher. FEATURES: Covers in-depth explanations of foundational and advanced LLM concepts, including BERT, GPT-4, and prompt engineering Uses practical Python code samples in leveraging LLM functionalities effectively Discusses future trends, ethical considerations, and the evolving landscape of AI technologies Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase)
| Author | : Greg Kihlstrom |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 158 |
| Release | : 2024-07-14 |
| Genre | : Business & Economics |
| ISBN | : 150151976X |
In today's dynamic marketing landscape, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities for marketers. This book enables marketing professionals to harness the power of AI, featuring in-depth discussions on key topics such as generative AI, personalized customer experiences, team and workflow augmentation, and data analysis optimization. It is divided into four parts, each addressing a different aspect of AI and marketing. Part I covers the fundamentals of AI in marketing, including machine learning and generative AI. Part II explores growth areas for marketing and AI, using generative AI and customer journey personalization. Part III goes into detail about how to use AI, particularly generative AI tools, to enhance the marketing function. Part IV is about integration and optimization, providing insights on when and where to invest in AI and how to prepare your team for an AI-driven marketing future.
| Author | : Gary F. Marcus |
| Publisher | : MIT Press |
| Total Pages | : 247 |
| Release | : 2024-09-17 |
| Genre | : Computers |
| ISBN | : 0262551063 |
How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world. On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future. Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed. Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman’s Steal This Book and Thomas Paine’s Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.
| Author | : RYAN. DOAN |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 190 |
| Release | : 2024-07-31 |
| Genre | : Computers |
| ISBN | : 1835887511 |
Unlock the secrets to mastering LLMOps with innovative approaches to streamline AI workflows, improve model efficiency, and ensure robust scalability, revolutionizing your language model operations from start to finish Key Features Gain a comprehensive understanding of LLMOps, from data handling to model governance Leverage tools for efficient LLM lifecycle management, from development to maintenance Discover real-world examples of industry cutting-edge trends in generative AI operation Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications. This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications. By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI. What you will learn Understand the evolution and impact of LLMs in AI Differentiate between LLMOps and traditional MLOps Utilize LLMOps tools for data analysis, preparation, and fine-tuning Master strategies for model development, deployment, and improvement Implement techniques for model inference, serving, and scalability Integrate human-in-the-loop strategies for refining LLM outputs Grasp the forefront of emerging technologies and practices in LLMOps Who this book is for This book is for machine learning professionals, data scientists, ML engineers, and AI leaders interested in LLMOps. It is particularly valuable for those developing, deploying, and managing LLMs, as well as academics and students looking to deepen their understanding of the latest AI and machine learning trends. Professionals in tech companies and research institutions, as well as anyone with foundational knowledge of machine learning will find this resource invaluable for advancing their skills in LLMOps.
| Author | : Chris Stokel-Walker |
| Publisher | : Canbury Press |
| Total Pages | : 320 |
| Release | : 2024-05-09 |
| Genre | : Computers |
| ISBN | : 191448732X |
'An excellent starter for those who want to gain an insight into how AI works and why it's likely to shape our lives.' – The Daily Telegraph Artificial intelligence will shake up our lives as thoroughly as the arrival of the internet. This popular, up-to-date book charts AI’s rise from its Cold War origins to its explosive growth in the 2020s. Tech journalist Chris Stokel-Walker (TikTok Boom and YouTubers) goes into the laboratories of the Silicon Valley innovators making rapid advances in ‘large language models’ of machine learning. He meets the insiders at Google and OpenAI who built Gemini and ChatGPT and reveals the extraordinary plans they have for them. Along the way, he explores AI’s dark side by talking to workers who have lost their jobs to bots and engages with futurologists worried that a man-made super-intelligence could threaten humankind. He answers critical questions about the AI revolution, such as what humanity might be jeopardising and the professions that will win and lose – and whether the existential threat technologists Elon Musk and Sam Altman are warning about is realistic – or a smokescreen to divert attention away from their growing power. How AI Ate the World is a ‘start here’ guide for anyone who wants to know more about the world we have just entered. Reviews 'An excellent starter for those who want to gain an insight into how AI works and why it's likely to shape our lives.' The Daily Telegraph 'How AI Ate the World prodigiously captures the key issues and concerns around artificial intelligence.' Azeem Azhar, Exponential View 'From ancient China to Victorian England, How AI Ate The World is the story of the characters, moments, technologies, and relationships that populate the rich history of artificial intelligence... How AI Ate The World grapples with what the age of automation means for the people living through it.' Harry Law, University of Cambridge 'A witty, engaging book that takes us through AI's bumpy past to help us understand its present, and future, impacts. I highly recommend it to anyone who is impacted by AI tech – which is to say, everyone on the planet.' Sasha Luccioni, Hugging Face 'Easily the most comprehensive book on AI I have read so far, covering all the key issues' Peter Hunt, Business & Tech Correspondent, Evening Standard 'A comprehensive and compelling look at the technology that's transforming our world. It's an essential guide, full of surprises, to the technology you need to know.' Matt Navarra, social media expert 'Whether you are new to AI or have been following the AI hype for years, Chris Stokel-Walker offers an entertaining balance of history, context and insight that has something for everyone. The story of AI’s evolution is a complex one, but Stokel-Walker tackles it in a clear, direct way that will bring you up to speed while helping you grapple with what it all means — for individuals, the workplace, society and the planet.' Sharon Goldman, VentureBeat 'This book is a wild, brilliant ride through centuries of thinking about and decades of developing machines that can learn. As a crash course in how we got to this current point of thrilling chaos, it will take some beating. Whether or not you agree with Stokel-Walker’s solutions or not, How AI Ate The World is essential reading to understand where we are and how we got here' Ciaran Martin, former CEO, UK National Cyber Security Centre Buy the book to discover your future
| Author | : Andrew Zhu (Shudong Zhu) |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 352 |
| Release | : 2024-06-03 |
| Genre | : Computers |
| ISBN | : 1835084311 |
Master AI image generation by leveraging GenAI tools and techniques such as diffusers, LoRA, textual inversion, ControlNet, and prompt design in this hands-on guide, with key images printed in color Key Features Master the art of generating stunning AI artwork with the help of expert guidance and ready-to-run Python code Get instant access to emerging extensions and open-source models Leverage the power of community-shared models and LoRA to produce high-quality images that captivate audiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionStable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques. You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction. By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.What you will learn Explore core concepts and applications of Stable Diffusion and set up your environment for success Refine performance, manage VRAM usage, and leverage community-driven resources like LoRAs and textual inversion Harness the power of ControlNet, IP-Adapter, and other methodologies to generate images with unprecedented control and quality Explore developments in Stable Diffusion such as video generation using AnimateDiff Write effective prompts and leverage LLMs to automate the process Discover how to train a Stable Diffusion LoRA from scratch Who this book is for If you're looking to gain control over AI image generation, particularly through the diffusion model, this book is for you. Moreover, data scientists, ML engineers, researchers, and Python application developers seeking to create AI image generation applications based on the Stable Diffusion framework can benefit from the insights provided in the book.
| Author | : Terence Mauri |
| Publisher | : John Wiley & Sons |
| Total Pages | : 247 |
| Release | : 2024-08-29 |
| Genre | : Business & Economics |
| ISBN | : 1394193637 |
Discover why not taking a risk is the biggest risk of all In The Upside of Disruption: The Path To Leading and Thriving in the Unknown, renowned disruption thinker and best-selling author Terence Mauri delivers a compelling set of mindset shifts for today's unique leadership challenges. In the book, you'll find the future-ready insights and tools you need to lead for today and prepare your organization for tomorrow. The author explains why so many of us continually overestimate the risks of bold decisions while underestimating the downsides of standing still for too long in an increasingly complex and volatile world. You'll learn about the upside of disruption and how to turn it into a tailwind for laser-like focus and strategic courage. You'll also find: Discussions of why good leaders learn but great leaders unlearn The key to unlocking cultures of courage over conformity Actionable strategies to sharpen the future readiness muscle and find the upside in disruption A singularly engaging new take on leading the future that uniquely favors the bold, The Upside of Disruption will earn a place in the libraries of managers, executives, board members, entrepreneurs, and founders looking for a new and resilient path forward.
| Author | : Scott Billups |
| Publisher | : Netcastle Press |
| Total Pages | : 107 |
| Release | : 2024-03-12 |
| Genre | : Computers |
| ISBN | : |
If you’re looking for a feel-good book about AI, this isn’t it. This book is written by a battle-scared veteran who innovated the use of AI in the trenches of Hollywood, healthcare, and defense. Grounded in the author's extensive experience, this book delivers a quantifiable vision of the near future that presents a uniquely relatable narrative. Using personal ground-breaking projects, he leverages the well-established precision of Moore's Law to trace the trajectory of pivotal AI-driven technologies and project them into our immediate future. HEALTHCARE Healthcare is a ravenous beast that gobbles up more of the federal budget than Social Security, Defense, and education combined. Despite the illusion of benevolence, it is this country’s largest industry, with only one edict: “charge as much as the market will bear.” So, before we start lauding the abilities of AI to revolutionize healthcare, let’s take a look at what is really going on. Moore’s Law indicates that without strategic advances in AI-robotic healthcare, the global healthcare system will collapse in eight years. HOLOSAPIENS Soon, many of your favorite people won’t be. The integration of Augmented Reality (AR), Artificial Intelligence (AI), and Brain Control Interfaces, Edge Computing sets the stage for the emergence of Holosapiens. In this era, AI-driven virtual entities seamlessly weave into our daily lives, offering companionship, assistance, and entertainment in a profoundly interactive and immersive manner. Moore’s Law says that as BCI and Quantum AI continue to develop, we will soon become them - or them us. AUTONOMOUS LETHALITY if AI were to take on human form, devoid of morals, unable to experience empathy, and untouched by fear, we would undoubtedly label such a being as an extremely dangerous psychopath. Yet these same attributes conspire to give birth to weaponized autonomy, the new face of armed conflict. Moore's Law predicts that within the next five years, we will lose control of autonomous lethality as macro drones and bio-bots upend the society’s balance of checks and measures.
