Author: Mario Capellari
Publisher: Resilientech
ISBN:
Category : Computers
Languages : en
Pages : 78
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Book Description
Embark on a journey into the heart of artificial intelligence (AI) with a guide designed for those intrigued by AI technologies. This book shines a light on the essentials of AI, emphasizing the groundbreaking impact of Large Language Models (LLMs). It offers a clear pathway to understanding AI's evolution, from its foundational concepts like neural networks and natural language processing to the advanced realms of generative AI that shape our future. Discover how AI is revolutionizing various industries, including healthcare, finance, education, and the arts, demonstrating its potential to transform the world. The narrative also tackles the ethical, privacy, and societal challenges accompanying AI's rise, fostering a dialogue on bias, data privacy, and the evolving landscape of work in an AI-enhanced world. Ideal for AI enthusiasts, professionals seeking to grasp AI's relevance to their fields, and anyone interested in the broader implications of AI technologies, this book provides an insightful introduction to AI and LLMs. It invites readers to explore the opportunities and navigate the changes AI brings, preparing them to thrive amidst the ongoing AI revolution.
Author: Mark Changizi
Publisher: BenBella Books
ISBN: 1637740492
Category : Psychology
Languages : en
Pages : 210
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Book Description
Good communication, conventional wisdom suggests, is calm, logical, rational. Emotions, we’re told, just get in the way. But what if this is backwards? What if those emotional overtones are the main messages we’re sending to one another, and all that logical language is just window dressing? Over billions of years of evolution, animals have become increasingly sophisticated and increasingly sentient. In the process, they evolved emotions, which helped improve their odds of survival in complex situations. These emotions were, at first, purely internal. But at some point, social animals began expressing their emotions, in increasingly dramatic ways. These emotional expressions could accurately reflect internal emotions (smiling to express happiness)—or they could be quite different (smiling to cover up that you’re actually furious, but can’t tell your boss that). Why did once-stone-faced animals evolve to be so emotionally expressive—to be us? The answer, as evolutionary neurobiologist Mark Changizi and mathematician Tim Barber reveal, is that emotional expressions are our first and most important language—one that allows us, as social animals, to engage in highly sophisticated communications and negotiations. Expressly Human introduces an original theory that explains, from first principles, how the broad range of emotional expressions evolved, and provides a Rosetta Stone for human communication. It will revolutionize the way you see every social interaction, from deciding who gets the last slice of pizza to multimillion-dollar business negotiations, and change your definition of what makes us human.
Author: Irena Cronin
Publisher: Packt Publishing Ltd
ISBN: 1835081800
Category : Computers
Languages : en
Pages : 396
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Book Description
Explore the architecture, development, and deployment strategies of large language models to unlock their full potential Key Features Gain in-depth insight into LLMs, from architecture through to deployment Learn through practical insights into real-world case studies and optimization techniques Get a detailed overview of the AI landscape to tackle a wide variety of AI and NLP challenges Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionEver wondered how large language models (LLMs) work and how they're shaping the future of artificial intelligence? Written by a renowned author and AI, AR, and data expert, Decoding Large Language Models is a combination of deep technical insights and practical use cases that not only demystifies complex AI concepts, but also guides you through the implementation and optimization of LLMs for real-world applications. You’ll learn about the structure of LLMs, how they're developed, and how to utilize them in various ways. The chapters will help you explore strategies for improving these models and testing them to ensure effective deployment. Packed with real-life examples, this book covers ethical considerations, offering a balanced perspective on their societal impact. You’ll be able to leverage and fine-tune LLMs for optimal performance with the help of detailed explanations. You’ll also master techniques for training, deploying, and scaling models to be able to overcome complex data challenges with confidence and precision. This book will prepare you for future challenges in the ever-evolving fields of AI and NLP. By the end of this book, you’ll have gained a solid understanding of the architecture, development, applications, and ethical use of LLMs and be up to date with emerging trends, such as GPT-5.What you will learn Explore the architecture and components of contemporary LLMs Examine how LLMs reach decisions and navigate their decision-making process Implement and oversee LLMs effectively within your organization Master dataset preparation and the training process for LLMs Hone your skills in fine-tuning LLMs for targeted NLP tasks Formulate strategies for the thorough testing and evaluation of LLMs Discover the challenges associated with deploying LLMs in production environments Develop effective strategies for integrating LLMs into existing systems Who this book is for If you’re a technical leader working in NLP, an AI researcher, or a software developer interested in building AI-powered applications, this book is for you. To get the most out of this book, you should have a foundational understanding of machine learning principles; proficiency in a programming language such as Python; knowledge of algebra and statistics; and familiarity with natural language processing basics.
Author: Robin Li
Publisher: Simon and Schuster
ISBN: 1510753001
Category : Technology & Engineering
Languages : en
Pages : 307
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Book Description
The co-founder of Baidu explains how AI will transform human livelihood, from our economy and financial systems down to our daily lives. Written by Baidu cofounder Robin Li and prefaced by award-winning sci-fi writer Cixin Liu (author of The Three-Body Problem), Artificial Intelligence Revolution introduces Baidu’s teams of top scientists and management as pioneers of movement toward AI. The book covers many of the latest AI-related ideas and technological developments, such as: Computational ability Big data resources Setting the basic standards of AI in research and development An introduction to the “super brain” Intelligent manufacturing Deep learning L4 automated vehicles Smart finance The book describes the emergence of a “smart” society powered by technology and reflects on the challenges humanity is about to face. Li covers the most pressing AI-related ideas and technological developments, including: Will artificial intelligence replace human workers, and in what sectors of the economy? How will it affect healthcare and finance? How will daily human life change? Robin Li’s Artificial Intelligence Revolution addresses these questions and more from the perspective of a pioneer of AI development. It's a must-read for anyone concerned about the emergence of a “smart” society powered by technology and the challenges humanity is about to face.
Author: Tom Mustill
Publisher:
ISBN: 9781538739129
Category : Nature
Languages : en
Pages : 0
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Book Description
What if animals and humans could speak to one another? Tom Mustill--the nature documentarian who went viral when a thirty‑ton humpback whale breached onto his kayak--asks this question in his thrilling investigation into whale science and animal communication. "When a whale is in the water, it is like an iceberg: you only see a fraction of it and have no conception of its size." On September 12, 2015, Tom Mustill was paddling in a two-person kayak with a friend just off the coast of California. It was cold, but idyllic--until a humpback whale breached, landing on top of them, releasing the energy equivalent of forty hand grenades. He was certain he was about to die, but they both survived, miraculously unscathed. In the interviews that followed the incident, Mustill was left with one question: What could this astonishing encounter teach us? Drawing from his experience as a naturalist and wildlife filmmaker, Mustill started investigating human-whale interactions around the world when he met two tech entrepreneurs who wanted to use artificial intelligence (AI)--originally designed to translate human languages--to discover patterns in the conversations of animals and decode them. As he embarked on a journey into animal eavesdropping technologies, where big data meets big beasts, Mustill discovered that there is a revolution taking place in biology, as the technologies developed to explore our own languages are turned to nature. From seventeenth-century Dutch inventors, to the whaling industry of the nineteenth century, to the cutting edge of Silicon Valley, How to Speak Whale examines how scientists and start-ups around the world are decoding animal communications. Whales, with their giant mammalian brains, virtuoso voices, and long, highly social lives, offer one of the most realistic opportunities for this to happen. But what would the consequences of such human animal interaction be? We're about to find out. Includes a Reading Group Guide.
Author: Chris Knight
Publisher: Yale University Press
ISBN: 0300221460
Category : Philosophy
Languages : en
Pages : 301
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Book Description
A fresh and fascinating look at the philosophies, politics, and intellectual legacy of one of the twentieth century's most influential and controversial minds Occupying a pivotal position in postwar thought, Noam Chomsky is both the founder of modern linguistics and the world's most prominent political dissident. Chris Knight adopts an anthropologist's perspective on the twin output of this intellectual giant, acclaimed as much for his denunciations of US foreign policy as for his theories about language and mind. Knight explores the social and institutional context of Chomsky's thinking, showing how the tension between military funding and his role as linchpin of the political left pressured him to establish a disconnect between science on the one hand and politics on the other, deepening a split between mind and body characteristic of Western philosophy since the Enlightenment. Provocative, fearless, and engaging, this remarkable study explains the enigma of one of the greatest intellectuals of our time.
Author: Nigel Toon
Publisher: Random House
ISBN: 1529916208
Category : Computers
Languages : en
Pages : 196
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Book Description
THE #2 TIMES BESTSELLER 'Artificial intelligence is going to have a massive impact on everyone’s lives... an accessible and sensible read that helps demystify AI' Deborah Meaden, entrepreneur and star of Dragon's Den 'Nigel Toon is a visionary leader in the field of artificial intelligence... a must-read' Marc Tremblay, Distinguished Engineer, Microsoft Those who understand how AI thinks are about to win big. We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context? How does it play and win games that have an almost infinite number of moves? And how can we work with AI to produce insights and innovations that are beyond human capacity, from writing code in an instant to unfolding the elaborate 3D puzzles of proteins? We stand at the brink of a historic change that will disrupt society and at the same time create enormous opportunities for those who understand how AI thinks. Nigel Toon shows how we train AI to train itself, so that it can paint images that have never existed before or converse in any language. In doing so he reveals the strange and fascinating ways that humans think, too, as we learn how to live in a world shared by machine intelligences of our own creation.
Author: Steven Pinker
Publisher: Harper Collins
ISBN: 0062032526
Category : Language Arts & Disciplines
Languages : en
Pages : 578
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Book Description
"A brilliant, witty, and altogether satisfying book." — New York Times Book Review The classic work on the development of human language by the world’s leading expert on language and the mind In The Language Instinct, the world's expert on language and mind lucidly explains everything you always wanted to know about language: how it works, how children learn it, how it changes, how the brain computes it, and how it evolved. With deft use of examples of humor and wordplay, Steven Pinker weaves our vast knowledge of language into a compelling story: language is a human instinct, wired into our brains by evolution. The Language Instinct received the William James Book Prize from the American Psychological Association and the Public Interest Award from the Linguistics Society of America. This edition includes an update on advances in the science of language since The Language Instinct was first published.
Author: Terrence J. Sejnowski
Publisher: MIT Press
ISBN: 026203803X
Category : Computers
Languages : en
Pages : 354
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Book Description
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy. Sejnowski played an important role in the founding of deep learning, as one of a small group of researchers in the 1980s who challenged the prevailing logic-and-symbol based version of AI. The new version of AI Sejnowski and others developed, which became deep learning, is fueled instead by data. Deep networks learn from data in the same way that babies experience the world, starting with fresh eyes and gradually acquiring the skills needed to navigate novel environments. Learning algorithms extract information from raw data; information can be used to create knowledge; knowledge underlies understanding; understanding leads to wisdom. Someday a driverless car will know the road better than you do and drive with more skill; a deep learning network will diagnose your illness; a personal cognitive assistant will augment your puny human brain. It took nature many millions of years to evolve human intelligence; AI is on a trajectory measured in decades. Sejnowski prepares us for a deep learning future.
Author: Mark Changizi
Publisher: BenBella Books, Inc.
ISBN: 193525121X
Category : Science
Languages : en
Pages : 240
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Book Description
In The Vision Revolution: How the Latest Research Overturns Everything We Thought We Knew About Human Vision, Mark Changizi, prominent neuroscientist and vision expert, addresses four areas of human vision and provides explanations for why we have those particular abilities, complete with a number of full-color illustrations to demonstrate his conclusions and to engage the reader. Written for both the casual reader and the science buff hungry for new information, The Vision Revolution is a resource that dispels commonly believed perceptions about sight and offers answers drawn from the field's most recent research. Changizi focuses on four “why" questions: 1. Why do we see in color? 2. Why do our eyes face forward? 3. Why do we see illusions? 4. Why does reading come so naturally to us? Why Do We See in Color? It was commonly believed that color vision evolved to help our primitive ancestors identify ripe fruit. Changizi says we should look closer to home: ourselves. Human color vision evolved to give us greater insights into the mental states and health of other people. People who can see color changes in skin have an advantage over their color-blind counterparts; they can see when people are blushing with embarrassment, purple-faced with exertion or the reddening of rashes. Changizi's research reveals that the cones in our eyes that allow us to see color are exquisitely designed exactly for seeing color changes in the skin. And it's no coincidence that the primates with color vision are the ones with bare spots on their faces and other body parts; Changizi shows that the development of color vision in higher primates closely parallels the loss of facial hair, culminating in the near hairlessness and highly developed color vision of humans. Why Do Our Eyes Face Forward? Forward-facing eyes set us apart from most mammals, and there is much dispute as to why we have them. While some speculate that we evolved this feature to give us depth perception available through stereo vision, this type of vision only allows us to see short distances, and we already have other mechanisms that help us to estimate distance. Changizi's research shows that with two forward-facing eyes, primates and humans have an x-ray ability. Specifically, we're able to see through the cluttered leaves of the forest environment in which we evolved. This feature helps primates see their targets in a crowded, encroached environment. To see how this works, hold a finger in front of your eyes. You'll find that you're able to look “through" it, at what is beyond your finger. One of the most amazing feats of two forward-facing eyes? Our views aren't blocked by our noses, beaks, etc. Why Do We See Illusions? We evolved to see moving objects, not where they are, but where they are going to be. Without this ability, we couldn't catch a ball because the brain's ability to process visual information isn't fast enough to allow us to put our hands in the right place to intersect for a rapidly approaching baseball. “If our brains simply created a perception of the way the world was at the time light hit the eye, then by the time that perception was elicited—which takes about a tenth of a second for the brain to do—time would have marched on, and the perception would be of the recent past," Changizi explains. Simply put, illusions occur when our brain is tricked into thinking that a stationary two-dimensional picture has an element that is moving. Our brains project the “moving" element into the future and, as a result, we don't see what's on the page, but what our brain thinks will be the case a fraction of a second into the future. Why Does Reading Come So Naturally to Us? We can read faster than we can hear, which is odd, considering that reading is relatively recent,
