Machine Language

Looking at the emergence of generative AI, Language Machines presents a new theory of meaning in language and computation, arguing that humanistic scholarship misconstrues how large language models (LLMs) function. Seeing LLMs as a convergence of computation and language, Leif Weatherby contends that AI does not simulate cognition, as widely believed, but rather creates culture.

Thinking about learning to code but not sure where to start? Are you looking for a Programming Language that is fun, extremely versatile, and powerful? Do you want to start with a language that “speaks” exactly like you? If yes, you should start learning Python right now! Python is one of the most versatile high-level programming languages ever developed. Rather than having to jump into strict syntax rules, Python reads like English and is simple to understand for someone new to programming. This allows you to obtain a basic knowledge of coding practices without having to obsess over ...

"Large Language Models: Fundamentals, Applications, and the Future of AI" offers a comprehensive exploration of large language models (LLMs), covering their core principles, practical applications, and potential future impact. Designed for a wide audience ranging from AI enthusiasts to seasoned researchers and industry professionals, this book provides a structured and in-depth understanding of these powerful AI systems. The book begins by establishing a solid foundation in natural language processing (NLP), transformers, and tokenization, crucial concepts for grasping how LLMs function. It...

Artificial Intelligence Explained is a clear, practical, and beginner-friendly guide to understanding the fascinating world of AI. Whether you're a student, professional, teacher, entrepreneur, or simply curious about Artificial Intelligence, this book explains complex concepts in simple language using everyday examples and easy-to-understand analogies. You'll learn what Artificial Intelligence is, how it differs from traditional programming, and how technologies such as Machine Learning, Deep Learning, Neural Networks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), ...

A clear, structured guide to how large language models work. This book provides a straightforward and well-organized introduction to the technology behind large language models (LLMs), such as ChatGPT. It explains how these models handle language, how they’re built using transformers and neural networks, and how they are trained on massive amounts of data. Designed for readers with a basic understanding of programming or math, it avoids unnecessary complexity while staying technically accurate. You’ll learn: What it means to “model” language How transformers and attention mechanisms...

All you need to know to get started with chatbots. From a chatbot builder and industry expert. We are in the middle of a chatbot revolution that will be extremely important to human culture. Chatbots are already everywhere. As some of the chapters in this book detail, they are present in e-commerce, banking, health care, education and libraries. This book consists of two sections. First of all, a run through the history of chatbots, some thoughts about the future, and an examination of how chatbots are changing cultural activity in all sorts of spheres. This section addresses Machine ...

Uncover the power of the number 8: eight individuals, eight groundbreaking research papers, and eight minds that forever altered the course of human history. If this eight-page paper had never been written, ChatGPT would not exist. It was only eight pages long. It had no flashy demos. And yet, it became the foundation of modern artificial intelligence. This short book tells the story behind that paper, not as a technical manual, but as a human and intellectual breakthrough that changed how machines understand language forever. One simple idea gave birth to the Transformer architecture, the ...

"The Book on ChatGPT" is the definitive guide to understanding and utilizing one of the most groundbreaking developments in natural language processing. ChatGPT, a large language model trained by OpenAI, has revolutionized the way we think about chatbots and language models. This book provides an in-depth look at the technology behind ChatGPT, including its architecture, training, and generation of responses. Readers will learn about the evolution of chatbots, from early attempts at language modeling to the emergence of ChatGPT, as well as the limitations and challenges facing this ...

Chatbots such as the infamous ChatGPT, robotic warehouses, computerized call centres and patient diagnosis. These are just a few of the areas where Artificial Intelligence (AI) and Machine Learning are being used to boost revenues, cut costs, save lives and improve customer experiences. As a result, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals. This book cuts through the hype and technical jargon that one often finds when talking about AI and Machine Learning. It delivers a short, concise and non-technical guide for ...

PSYCHOLINGUISTICS AND NEUROLINGUISTICS --- Decode the secrets of language and the brain with this guide to the cognitive and neural mechanisms of human communication. This book provides a great exploration of the cognitive and neural mechanisms at the foundations of language processing, acquisition, and evolution. Integrating insights from psychology, neuroscience, and linguistic theory, it illuminates the complexities of human language. Here are the key areas covered: Neural Basis of Language Acquisition - Examines critical periods and brain adaptability in learning new languages. - ...

Curious about AI, but unsure how it works? Want to tap into the lucrative potential of this rapidly advancing technology? Unlock the immense potential of AI with this transformative book! Welcome to Fundamentals of Artificial Intelligence & Large Language Models, the second in a series of books crafted to help you join a movement toward a more financially fruitful future.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Assembly language is often considered a bridge between high-level programming languages and machine code. Unlike high-level languages such as Python or C, which use human-readable syntax and abstract away many details of the underlying hardware, assembly language provides a more direct representation of the CPU's operations.

When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of an LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields.

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.

What really happens inside a generative AI system and why can an answer sound completely convincing while still being wrong? First BCI University Generative AI and Large Language Models is a comprehensive and accessible guide to the technologies reshaping writing, research, software development, education, business, media, and professional decision-making. Rather than focusing on one platform or presenting a collection of temporary tricks, this book explains the enduring foundations of modern generative artificial intelligence. Readers discover how foundation models and large language ...

Behind every generated answer, image, voice, video, or synthetic experience is an architecture that determines what the system can understand, how it processes information, and what it can produce. Generative AI models are often discussed as though they were one technology. In practice, foundation models, transformers, diffusion systems, and multimodal models rely on different structures, training objectives, information flows, and generation processes. Understanding these differences is essential for evaluating modern AI systems without treating them as mysterious black boxes. Generative ...

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.

Transform your tech anxiety into logical problem-solving skills with this accessible guide to computer programming. Perfect for your daily commute, this encouraging audio experience replaces the mystery of software development with gentle, curiosity-driven learning. Stop feeling overwhelmed by...

From the coauthor of Algorithms to Live By, an exploration of the quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and the ways in which they still differ from human minds Everyone has a basic understanding of...