Language Theory

Common Ground is accessible to teachers at all levels yet firmly rooted in current questions of second language acquisition (SLA). One of its primary strengths is the authors themselves, both of whom are accomplished language teachers who understand the challenges and opportunities in communication-focused language teaching.

Each year,John Brockman, publisher of Edge.org, challenges some of the world's greatest scientists, artists, and philosophers to answer a provocative question crucial to our time. In 2014 he asked 175 brilliant minds to ponder: What scientific idea needs to be put aside in order to make room for new ideas to advance? The answers are as surprising as they are illuminating.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

Madness, sexuality, power, knowledge—are these facts of life or simply parts of speech? In a series of works of astonishing brilliance, historian Michel Foucault excavated the hidden assumptions that govern the way we live and the way we think. The Archaeology of Knowledge begins at the level of things aid and moves quickly to illuminate the connections between knowledge, language, and action in a style at once profound and personal. A summing up of Foucault's own methodological assumptions, this book is also a first step toward a genealogy of the way we live now.

In this study, Fromm argues that man needs to analyze his unconscious thoughts, his dreams, and his conscious fantasies, as they reflect a universal and symbolic representation of himself.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.

Within this essay, Orwell criticises the 'ugly and inaccurate' written English of his time and examines the connection between political orthodoxies and the debasement of language. The essay focuses on political language, which, according to Orwell, 'is designed to make lies sound truthful and murder respectable, and to give an appearance of solidity to pure wind'. Bad English, he believed, was a vehicle for oppressive ideology.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Few other issues have separated the church more than the issue of tongues. Sam Storms focuses on this controversial subject with his signature insights to theology and the gifts of the spirit. What does the gift giver say about the gift He gave? Storms seeks to bring balance to this subject in The Language of Heaven as he wrestles with this sensitive issue experientially as well as theologically.

The General Theory of the Translation Company condenses decades of combined experience in an easily digestible and entertaining format. Just like this back-of-the-book-summary, it does not provide all the answers. It teaches us how to ask better questions and to have more meaningful conversations about language services.

In a letter of 1932, Karl Popper described Die beiden Grundprobleme der Erkenntnistheorie–The Two Fundamental Problems of the Theory of Knowledge–as ‘…a child of crises, above all of …the crisis of physics.' The two fundamental problems of knowledge that lie at the center of the book are the problem of induction, that although we are able to observe only a limited number of particular events, science nevertheless advances unrestricted universal statements; and the problem of demarcation, which asks for a separating line between empirical science and non-science.

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

This book presents the most important elements of English grammar in a clear and simple manner. The book addresses all those who want to learn English, regardless of age, offering, through clear explanations and algorithms, a better and faster understanding of English grammar. Each lesson is accompanied by examples and exercises. The book contains 900 exercises.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

In her powerful, prophetic teaching style, best-selling author Jennifer Eivaz helps listeners to continually sharpen their gift in order to minister healing, breakthroughs, and a supernatural display of God's glory.

Mastering ChatGPT: A Comprehensive Guide to Using and Engineering Language Models for Natural Language Processing is a comprehensive guide to the cutting-edge technology of ChatGPT, the latest generation of GPT models. This book covers everything from understanding the basics of GPT-3 and its capabilities to advanced techniques for prompt engineering, fine-tuning for specific tasks, and utilizing GPT-3's built-in controllers and advanced features.

In this accessible, up-to-date, and authoritative examination of the world’s most radical technology, neuroscientist and AI researcher Christopher Summerfield explores what it really takes to build a brain from scratch. We have entered a world in which disarmingly human-like chatbots, such as ChatGPT, Claude and Bard, appear to be able to talk and reason like us—and are beginning to transform everything we do. But can AI ‘think’, 'know' and ‘understand’? What are its values? Whose biases is it perpetuating? Can it lie and if so, could we tell? Does their arrival threaten our very existence?

Why do Internet, financial service, and beer commercials dominate Super Bowl advertising? How do political ceremonies establish authority? Why does repetition characterize anthems and ritual speech? Why were circular forms favored for public festivals during the French Revolution? This book answers these questions using a single concept: common knowledge.

Ignite your untapped potential with ChatGPT and revolutionize your personal and professional life using this comprehensive, step-by-step guide to AI mastery! With up to 40% of daily work activities capable of being automated, there's never been a better time to dive into the world of AI. In this guide, you'll uncover everything you need to know about ChatGPT and how to use it to streamline your workflow and enhance your productivity. You'll gain practical insights into how to make ChatGPT work for you.

Bestselling children's author Andy Stanton has made a career out of writing differently—from the unconventional ‘hero' of his bestselling Mr Gum series to his penchant for absurdist plots, his children's books are anything but formulaic. When a friend introduces him to ChatGPT, the new large language chatbot, Andy is as sceptical as he is curious. Can this jumble of algorithms really mimic the spontaneity of human thought? Could it one day replace human authors like him for good? And are we soon to be ruled over by despotic robot overlords.