Machine Language

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.

"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...

Understand ChatGPT, Claude, and Copilot beyond the buzzwords Large language models are transforming software development, productivity, and how we interact with computers. But most people only know how to use them, not how they actually work. If you have ever wondered: How does ChatGPT know what to say next? What are tokens and embeddings really doing? Why does attention matter so much? What happens inside a transformer layer? This book will make it click. A practical, visual, developer-friendly explanation This is not a dense academic textbook. It is a clear, step by step walkthrough that ...

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.

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.

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 ...

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.

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 bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

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. - ...

What if everything we think we know about AI is incomplete? A former indie developer noticed something strange: wrong answers from language models clustered together in predictable patterns. That observation led to a theory—and an 84% reduction in inference error. THE MATHEMATICS OF INTELLIGENCE presents the CIC (Compression-Integration-Coherence) framework: a unified theory connecting information theory, statistical mechanics, and neural computation. The central claim is precise and falsifiable: Intelligence = Compression = Free Energy Minimization This isn't philosophy. It's mathematics...

Artificial Intelligence is transforming how we work, create, and communicate - but the secret to harnessing its full potential lies in one skill: prompt and context engineering.

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.

Dear writers, it’s been a light year since ChatGPT introduced artificial intelligence into the world of writing. And oh, what a year it has been. By now, you’ve probably tried using AI to brainstorm premises, write marketing copy, develop characters, and build worlds. * * * Do you wish to do more? • Are you curious about what you can do beyond using ChatGPT? • Ready to learn how to customize AI to your own writing? • Wondering how to keep up with the pace of AI? Fear not. I’m Rachelle Ayala, a USA Today Bestselling author and AI trailblazer. I’m here to equip you with the ...

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

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.

"AI Agents and Autonomous Systems" is a comprehensive, modern, and practical guide designed to navigate the exciting landscape of intelligent systems. This book serves as both a university textbook and a hands-on manual for anyone looking to understand, design, and build the next generation of AI. In an era where AI is moving from a passive tool to an active participant, understanding the principles of autonomy is no longer optional—it is essential. We cut through the hype and provide a clear, structured pathway from foundational theories to the implementation of cutting-edge, LLM-powered...

Terence McKenna Explained: Psychedelics, Language, and the Future of the Human Imagination. What if reality is not something we see, but something we speak into being? Terence McKenna—philosopher, storyteller, and countercultural icon—changed the way generations think about consciousness, creativity, and time itself. Terence McKenna Explained is the first comprehensive, reader-friendly guide to his life, works, and ideas—offering an independent, grounded, and utterly captivating exploration of one of the most original minds of the 20th century. A Clear Map Through McKenna’s Wild ...

"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 ...