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...

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 ...

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.

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. - ...

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.

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.

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.

The productivity revolution is here, and most people are missing it. While others treat ChatGPT-5 like a fancy search engine, smart entrepreneurs and creators are using it to reclaim 15-20 hours per week through systematic automation. This isn't about getting better answers—it's about delegating entire workflows to an AI collaborator that never sleeps, never forgets, and gets smarter every day.

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.

Python has quietly transformed from a humble scripting language into the beating heart of artificial intelligence, billion-dollar apps, and wealth-building technology. In this book, you will discover not just how to write Python code, but how to wield it as an engine of unstoppable innovation and financial growth. Whether you dream of launching AI startups, automating income streams, or creating tools that reach millions, Python is your key.

“There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”--The New York Times...

Discover How Mathematics Powers the World of AI! Are you fascinated by the science behind AI? Do you want to understand the mathematics driving today’s most innovative technologies? “How Math Shaped the AI” provides the step-by-step guidance you need to unravel the mathematical principles behind artificial intelligence and machine learning. Do you find advanced math concepts intimidating? Are you searching for a clear, approachable resource to deepen your AI knowledge? Overcome Your Struggles with AI Mathematics – We've Been There! We understand how challenging it can be to grasp ...

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.

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 ...

Language is humanity’s oldest technology—a bridge from thought to action. Today, that bridge extends into the digital world as Natural Language Processing (NLP) allows computers to understand, generate, and converse in human language. In this book, we journey from the fundamentals of computational linguistics to cutting-edge deep learning architectures that power virtual assistants, search engines, and intelligent chatbots.

A clear, structured guide to how large language models work—no hype, no jargon. 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...

The Definitive Guide to Natural Language Processing