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Author: Pajonas Steph
Publisher: Future Fiction Press LLC
ISBN: 1966024002
Category : Language Arts & Disciplines
Languages : en
Pages : 111
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Book Description
Step into the future of storytelling with AI Basics for Fiction Authors, the ultimate guide to integrating artificial intelligence into your writing process. Whether you're a seasoned author or just starting out, this book provides the knowledge and tools you need to enhance your creativity, streamline your workflow, and produce high-quality content with ease. Inside, you'll discover: • Comprehensive AI Insights: Learn the essentials of large language models, prompt engineering, and context windows to unlock new creative possibilities. • Customized AI Strategies: Find personalized AI tool plans tailored to your writing style, whether you're a meticulous plotter or an adventurous pantser. • Effective Applications: Master the art of writing blurbs, social media posts, and crafting immersive worlds and characters with AI's assistance. • Navigating Ethical Terrain: Understand the ethical considerations and content policies that guide responsible AI use, ensuring your work remains authentic and respectful. • Exploring Unfiltered Models: Access open-source models for generating NSFW content, providing the flexibility to tackle mature themes without limitations. AI Basics for Fiction Authors is your gateway to a new era of writing, offering practical advice, expert tips, and real-world examples to help you integrate AI seamlessly into your creative process. Embrace the transformative power of AI and take your fiction writing to new heights with this indispensable guide.
Author: Pajonas Steph
Publisher: Future Fiction Press LLC
ISBN: 1966024002
Category : Language Arts & Disciplines
Languages : en
Pages : 111
Get Book Here
Book Description
Step into the future of storytelling with AI Basics for Fiction Authors, the ultimate guide to integrating artificial intelligence into your writing process. Whether you're a seasoned author or just starting out, this book provides the knowledge and tools you need to enhance your creativity, streamline your workflow, and produce high-quality content with ease. Inside, you'll discover: • Comprehensive AI Insights: Learn the essentials of large language models, prompt engineering, and context windows to unlock new creative possibilities. • Customized AI Strategies: Find personalized AI tool plans tailored to your writing style, whether you're a meticulous plotter or an adventurous pantser. • Effective Applications: Master the art of writing blurbs, social media posts, and crafting immersive worlds and characters with AI's assistance. • Navigating Ethical Terrain: Understand the ethical considerations and content policies that guide responsible AI use, ensuring your work remains authentic and respectful. • Exploring Unfiltered Models: Access open-source models for generating NSFW content, providing the flexibility to tackle mature themes without limitations. AI Basics for Fiction Authors is your gateway to a new era of writing, offering practical advice, expert tips, and real-world examples to help you integrate AI seamlessly into your creative process. Embrace the transformative power of AI and take your fiction writing to new heights with this indispensable guide.
Author: Matthew Jockers
Publisher: Penguin UK
ISBN: 0241243718
Category : Literary Criticism
Languages : en
Pages : 242
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Book Description
What if an algorithm could predict which manuscripts would become mega-bestsellers? Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? What secret DNA do they share? In The Bestseller Code, Archer and Jockers boldly claim that blockbuster hits are highly predictable, and they have created the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read.
Author: Kevin Warwick
Publisher: Routledge
ISBN: 1136629831
Category : Philosophy
Languages : en
Pages : 192
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Book Description
'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject.
Author: Yudhanjaya Wijeratne
Publisher:
ISBN: 9781949890709
Category :
Languages : en
Pages : 302
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Book Description
They thought this was just another salvage job. They thought wrong. An AI overseer and a human crew arrive on a distant planet to salvage an ancient UN starship. The overseer is unhappy. The crew, well, they're certainly no A-team. Not even a C-team on the best of days. And worse? Urmahon Beta, the planet, is at the ass-end of nowhere. Everybody expects this to be a long, ugly, and thankless job. Then it all goes disastrously wrong. What they thought was an uninhabited backwater turns out to be anything but empty. Megafauna roam the land, a rival crew with some terrifyingly high-powered gear haunts the dig site, and a secret that will change humanity forever is waiting in the darkness. Stuck on this unmapped, hostile planet, lacking resources, and with tech built by the cheapest bidder, the salvage crew must engineer their way to payday...and beat Urmahon Beta before it kills them all. Experience this space exploration adventure told from the perspective of a snarky artificial intelligence you won't soon forget. It's perfect for fans of The Martian, Red Dwarf, Firefly, and We Are Legion (We Are Bob).
Author: Andrew W. Trask
Publisher: Simon and Schuster
ISBN: 163835720X
Category : Computers
Languages : en
Pages : 475
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Book Description
Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide
Author: Kai-Fu Lee
Publisher: Crown Currency
ISBN: 0593238311
Category : Social Science
Languages : en
Pages : 497
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Book Description
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.
Author: Roald Dahl
Publisher: Penguin
ISBN: 1101636289
Category : Young Adult Fiction
Languages : en
Pages : 264
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Book Description
Is it really possible to invent a machine that does the job of a writer? What is it about the landlady's house that makes it so hard for her guests to leave? Does Sir Basil Turton value most his wife or one of his priceless sculptures? These compelling tales are a perfect introduction to the adult writing of a storytelling genius.
Author: Hiyashi Jain
Publisher: BooksClub
ISBN:
Category : Fiction
Languages : en
Pages : 115
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Book Description
The Author of this book is Hiyashi Jain
Author: Alessandra Torre
Publisher:
ISBN: 9781940941943
Category : Authors
Languages : en
Pages : 316
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Book Description
From a NYT Bestseller - An emotional and gripping story of a famous author who struggles to write her final novel - a true story that confesses her darkest secret. To aid her, she enlists her biggest rival, who has a surprising effect on her life. Readers of GONE GIRL and MY HUSBAND'S SECRET will love this twisted tale of marriage, deceit and fame
Author: Henry Harvin
Publisher: Henry Harvin
ISBN: 8196413920
Category : Computers
Languages : en
Pages : 630
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Book Description
The widespread usage of practical voice recognition, machine translation, autonomous vehicles, and home robotics are just a few notable applications of AI technology. There have been significant algorithms, such as the checkers game solution. Additionally, there has been a lot of theoretical advancement, notably in fields like computer vision, machine learning, and probabilistic reasoning. The most crucial from our point of view is the ongoing evolution of how we approach the subject and, consequently, how we set up the book.
