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Author: Onesimus Malatji Publisher: Onesimus Malatji ISBN: 1776491882 Category : Computers Languages : en Pages : 76
Book Description
Grok is a new AI chatbot created by Elon Musk's xAI, which aims to offer a unique AI experience by providing witty and logical answers to user queries. The name Grok is derived from Robert A. Heinlein's 1961 science fiction novel "Stranger in a Strange Land," where it means "to drink" but is generally understood as having deep empathy or intuition with something. The AI is designed to have a bit of wit, a rebellious streak, and a willingness to tackle controversial or "spicy" questions that other AI systems might avoid. Grok is currently available to select X platform users in the US as part of the early access program. The company claims that Grok has surpassed "all other models in its compute class," including ChatGPT-3.5 and Inflection-1, but it is still outperformed by bots with larger data troves. The goal of xAI is to build artificial intelligence that advances humanity's understanding of the universe. With a team of former employees from OpenAI, DeepMind, and other prominent organizations, xAI is actively hiring for various roles as it continues to develop its technology.
Author: Onesimus Malatji Publisher: Onesimus Malatji ISBN: 1776491882 Category : Computers Languages : en Pages : 76
Book Description
Grok is a new AI chatbot created by Elon Musk's xAI, which aims to offer a unique AI experience by providing witty and logical answers to user queries. The name Grok is derived from Robert A. Heinlein's 1961 science fiction novel "Stranger in a Strange Land," where it means "to drink" but is generally understood as having deep empathy or intuition with something. The AI is designed to have a bit of wit, a rebellious streak, and a willingness to tackle controversial or "spicy" questions that other AI systems might avoid. Grok is currently available to select X platform users in the US as part of the early access program. The company claims that Grok has surpassed "all other models in its compute class," including ChatGPT-3.5 and Inflection-1, but it is still outperformed by bots with larger data troves. The goal of xAI is to build artificial intelligence that advances humanity's understanding of the universe. With a team of former employees from OpenAI, DeepMind, and other prominent organizations, xAI is actively hiring for various roles as it continues to develop its technology.
Author: Onesimus Malatji Publisher: Onesimus Malatji ISBN: 1776491890 Category : Computers Languages : en Pages : 147
Book Description
"AI Prompting by ChatGPT & The Art of AI by Grok AI" delves into the rapidly evolving field of AI communication, where artificial intelligence and communication intersect to shape how humans interact with AI systems. "AI Prompting" by ChatGPT, a comprehensive guide, demystifies AI, exploring its capabilities and limitations, and covers fundamental principles, advanced techniques, and ethical considerations in AI communication. Drawing parallels between AI communication and language acquisition, the book progresses to advanced prompting techniques. "The Art of AI" by Grok AI offers an in-depth look at effective AI communication, providing readers with foundational principles for framing questions and prompts clearly, progressing to advanced techniques for problem-solving. The ethical dimension is a focal point, guiding users on responsible interactions with AI, highlighting sensitive topics, and emphasizing the evolving relationship between humans and AI. Practical applications come to life through case studies and success stories, showcasing AI's value across diverse fields. The books also address technical limitations, helping readers navigate potential misinterpretations in AI responses. More than manuals, "AI Prompting by ChatGPT & The Art of AI by Grok AI" are thoughtful explorations designed for a broad audience, from enthusiasts to professionals, educators, and the general public. With interactive exercises, glossaries, and abundant resources, they aim to equip readers with the skills needed for responsible and effective AI communication, preparing them for the evolving role of AI in society.
Author: M.B. Chatfield Publisher: ISBN: Category : Business & Economics Languages : en Pages : 193
Book Description
Grok and xAI: Transforming the World, One Mind at a Time by M.B. Chatfield is a must-read for anyone interested in the future of artificial intelligence. In Grok and xAI, Chatfield explains how these two technologies are transforming the world, one mind at a time. He discusses how Grok is being used to create new and innovative products and services, such as chatbots, virtual assistants, and educational software. He also explores how xAI is being used to make AI systems more trustworthy and reliable. Here are some specific reasons why you should buy Grok and xAI: You are interested in the future of artificial intelligence. You want to learn more about how Grok and xAI are being used to transform the world. You want to understand the potential benefits and risks of Grok and xAI. If you meet any of these criteria, then Grok and xAI is a must-read for you.
Author: M.B. Chatfield Publisher: ISBN: Category : Science Languages : en Pages : 174
Book Description
Unveiling the Potential of Grok The implications of Grok extend far beyond the realm of language processing. Its potential applications are vast and transformative, encompassing everything from personalized education and healthcare to groundbreaking advancements in creative industries and scientific research. Grok's Impact on Human-Computer Interaction Grok has the potential to revolutionize the way we interact with machines, bridging the gap between human language and machine understanding. It could lead to the development of more natural and intuitive user interfaces, chatbots that can engage in meaningful conversations, and AI-powered systems that can assist with a wide range of tasks. Navigating the Ethical Considerations As with any powerful technology, Grok raises important ethical questions that must be carefully considered. Ensuring transparency, accountability, and fairness in the development and deployment of Grok is paramount to fostering trust and avoiding potential misuse. Prepare to be captivated by the transformative potential of Grok, a technology that is poised to revolutionize the way we interact with machines.
Author: M.B. Chatfield Publisher: ISBN: Category : Computers Languages : en Pages : 102
Book Description
Grok: Revolutionizing the Way We Interact with Machines is an essential book for anyone who wants to understand the future of artificial intelligence. It is a well-written and informative book that will provide you with a deep understanding of one of the most important AI technologies of our time. Here are some key reasons why this book is a must-read for anyone interested in artificial intelligence. Grok is a powerful technology that has the potential to change the way we interact with machines in fundamental ways. Chatfield's book provides a comprehensive overview of Grok, including its capabilities, potential applications, and potential risks. The book is written in a clear and concise style that is accessible to a general audience. Chatfield does an excellent job of explaining complex technical concepts in a way that is easy to understand. The book is well-researched and provides a balanced and objective view of Grok. Chatfield does not shy away from discussing the potential risks of Grok, but he also emphasizes its potential benefits. Overall, Grok: Revolutionizing the Way We Interact with Machines is an essential book for anyone who wants to understand the future of artificial intelligence.
Author: Stephen Cave Publisher: Oxford University Press, USA ISBN: 0198846665 Category : Computers Languages : en Pages : 439
Book Description
This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.
Author: Mark Ryan Publisher: Simon and Schuster ISBN: 163835717X Category : Computers Languages : en Pages : 262
Book Description
Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps
Author: John McPhee Publisher: Farrar, Straus and Giroux ISBN: 0374708460 Category : Science Languages : en Pages : 448
Book Description
The Pulitzer Prize-winning view of the continent, across the fortieth parallel and down through 4.6 billion years Twenty years ago, when John McPhee began his journeys back and forth across the United States, he planned to describe a cross section of North America at about the fortieth parallel and, in the process, come to an understanding not only of the science but of the style of the geologists he traveled with. The structure of the book never changed, but its breadth caused him to complete it in stages, under the overall title Annals of the Former World. Like the terrain it covers, Annals of the Former World tells a multilayered tale, and the reader may choose one of many paths through it. As clearly and succinctly written as it is profoundly informed, this is our finest popular survey of geology and a masterpiece of modern nonfiction. Annals of the Former World is the winner of the 1999 Pulitzer Prize for Nonfiction.
Author: Rob Reid Publisher: Del Rey ISBN: 1524798061 Category : Fiction Languages : en Pages : 576
Book Description
The definitive novel of today’s Silicon Valley, After On flash-captures our cultural and technological moment with up-to-the-instant savvy. Matters of privacy and government intrusion, post-Tinder romance, nihilistic terrorism, artificial consciousness, synthetic biology, and much more are tackled with authority and brash playfulness by New York Times bestselling author Rob Reid. Meet Phluttr—a diabolically addictive new social network and a villainess, heroine, enemy, and/or bestie to millions. Phluttr has ingested every fact and message ever sent to, from, and about her innumerable users. Her capabilities astound her makers—and they don’t even know the tenth of it. But what’s the purpose of this stunning creation? Is it a front for something even darker and more powerful than the NSA? A bid to create a trillion-dollar market by becoming “The UberX of Sex”? Or a reckless experiment that could spawn the digital equivalent of a middle-school mean girl with enough charisma, dirt, and cunning to bend the entire planet to her will? Phluttr has it in her to become the greatest gossip, flirt, or matchmaker in history. Or she could cure cancer, bring back Seinfeld, then start a nuclear war. Whatever she does, it’s not up to us. But a motley band of Silicon Valley entrepreneurs, venture capitalists, and engineers might be able to influence her. After On achieves the literary singularity—fusing speculative satire and astonishing reality into a sharp-witted, ferociously believable, IMAX-wide view of our digital age. Praise for After On “Rob Reid’s mind is like no other known thing in the universe, and this book is a truly spectacular way to discover it.”—Chris Anderson, head of TED “An extended philosophy seminar run by a dozen insane Cold War heads-of-station, three millennial COOs and that guy you went to college with who always had the best weed but never did his laundry.”—NPR “An epic cyberthriller peppered with pop-culture references, metadata, and Silicon Valley in-jokes.”—Kirkus Reviews “It’s rare to find a book that combines laugh-out-loud humor and cutting-edge science with profound philosophical speculation. This is that book.”—Analog “[Rob Reid] writes in a humorous and sarcastic style while unveiling a terrifying and frightening scenario that seems all too real.”—Associated Press
Author: Andrew W. Trask Publisher: Simon and Schuster ISBN: 163835720X Category : Computers Languages : en Pages : 475
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: Onesimus Malatji
Author: Onesimus Malatji
Author: Onesimus Malatji
Author: M.B. Chatfield
Author: M.B. Chatfield
Author: M.B. Chatfield
Author: Stephen Cave
Author: Mark Ryan
Author: John McPhee
Author: Rob Reid
Author: Andrew W. Trask