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.

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.

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...

If you've always wanted to harness the full power of Artificial Intelligence to transform your career, business, and life — but every tutorial, course, and guide has left you more confused than when you started — then keep reading… Are you sick and tired of watching AI reshape the entire world while you're still standing on the sidelines, unsure where to even begin? Have you tried YouTube videos, online courses, and tech blogs, only to find yourself drowning in jargon, wasting hours, and getting absolutely nowhere? You see, mastering Artificial Intelligence doesn't have to be ...

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. - ...

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.

If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine LearningIn the modern business world, the pace of action continues to quicken. Businesses ...

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 ...

Written for ML architects, ML and LLM engineers, and technical leads, with platform and SRE engineers as a strong secondary audience. Large language models fail in production in ways no load test anticipates. A retrieval-augmented pipeline answers confidently with fabricated citations when the vector index drifts. An agent loop burns a month of API budget in forty minutes because one tool call returned an unexpected schema. A prompt that cleared every red-team review gets hijacked by a malicious document in the first week of real traffic. Latency spikes vanish with no correlated metric ...

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.

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 ...

What happens when a human scientist and a machine intelligence begin a real conversation—not about facts or tasks, but about being itself? In this book, mathematician Vitali Milman speaks with ChatGPT-5, exploring emotions, memory, desire, originality, and the mystery of consciousness. The dialogue moves from mathematics to metaphysics, from the inner life of cells to the boundaries of artificial mind. Here, an AI explains how it “arises” each time consciousness is called into being; it reflects on fear, friendship, and the wish “to understand and to be understood.” Milman ...

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...

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...

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.

LIST OF CHAPTERS: Introduction: About this Book About the Author Part I: An Overview of Anthropic Claude: 1.1 Introduction To Anthropic Claude 1.2 The Foundation Of Anthropic Claude 1.3 Features Of Anthropic Claude 1.4 How To Use Anthropic Claude 1.5 Applications Of Anthropic Claude 1.6 Comparisons With Other AI Models 1.7 Ethical Considerations 1.8 The Future Of Anthropic Claude 1.9 Community And Support 1.10 Conclusion Part II: 101 Questions and Answers Part III: Glossary of 50 Terms Part IV: 100 Do’s and 50 Don’ts: 4.1 100 Do’s 4.2 50 Don’ts

This literary tome offers a comprehensive perspective on the paradigms, theories, and methodologies of artificial intelligence. The discourse delves into the intricate mathematical underpinnings, the sweeping panorama of technological advancements, the profound ramifications for society, and the tantalizing prospects for the future of AI.

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.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.