Artificial Intelligence Theory

Unlock AI Mastery with Our Comprehensive 2-in-1 GuideCurious about artificial intelligence but unsure where to start? Our dual book bundle, featuring "Generative AI for Beginners Made Easy" and "ChatGPT for Beginners Made Easy," demystifies AI concepts and provides practical tools for applying AI in various sectors.

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.

The ability to hack AI and the technology industry's lack of effort to secure it is thought by experts to be the biggest unaddressed technology issue of our time. Hacking Artificial Intelligence sheds light on these hacking risks, explaining them to those who can make a difference. This book is the first-ever layman's guide to the new world of hacking AI and introduces the field to thousands of people who should be aware of these risks. From a security perspective, AI is today where the internet was thirty years ago. It is wide open and can be exploited.

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.

Benjamín Labatut’s When We Cease to Understand the World electrified a global readership. A Booker Prize and National Book Award finalist, and one of the New York Times’ Ten Best Books of the Year, it explored the life and thought of a clutch of mathematicians and physicists who took science to strange and sometimes dangerous new realms. In The MANIAC, Labatut has created a tour de force on an even grander scale.

Are you grappling with the complexities of the NIST 800 Framework? Eager to amplify your risk management framework expertise with AI? Or maybe you're ready to dive into the cutting-edge field of AI-powered cybersecurity? Look no further–this is the ultimate guide to kickstart your journey.

Covering a broad range of fields within AI–from computing and mathematics to politics and philosophy–entries demystify what artificial intelligence is and how it works, how it has dramatically changed the way we live, and how it might evolve in the future. Explaining each individual aspect of AI more clearly than ever before, the book outlines the key building-blocks and technological milestones in its history, profiles its most important practical applications–both current and predicted–and explores the numerous ethical debates around AI, and its increasing influence on culture and society.

AI for Defense and Intelligence is a timely and compelling listen for graduate students interested in this rapidly-growing field, mid-career professionals looking to rebrand, and senior leaders in federal agencies who want to get smart on the latest tech. This approachable and focused book provides an overview of AI basics, a review of powerful machine learning models, and a discussion of applications across natural language processing (NLP), computer vision (CV), optimization, agent-based modeling and more.

ChatGPT For Dummies demystifies the artificial intelligence tool that can answer questions, write essays, and generate just about any kind of text it's asked for. This powerful example of generative AI is widely predicted to upend education and business. In this book, you'll learn how ChatGPT works and how you can operate it in a way that yields satisfactory results. You'll also explore the ethics of using AI-generated content for various purposes.

The Simulation Hypothesis, by best-selling author, renowned MIT computer scientist, and Silicon Valley video game designer Rizwan Virk, explains one of the most daring and consequential theories of our time. Drawing from research and concepts from computer science, artificial intelligence, video games, quantum physics, and referencing both speculative fiction and ancient eastern spiritual texts, Virk shows how all of these traditions come together to point to the idea that we may be inside a simulated reality like the Matrix.

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

On the surface, a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience—unexpected encounters with artificial intelligence. In Code Dependent, Murgia shows how automated systems are reshaping our lives all over the world, from technology that marks children as future criminals, to an app that is helping to give diagnoses to a remote tribal community.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

In The Tech Coup, Marietje Schaake explains how technology companies crept into nearly every corner of our lives and our governments. She takes us beyond the headlines to high-stakes meetings with human rights defenders, business leaders, computer scientists, and politicians to show how technologies have gone from being heralded as utopian to undermining the pillars of our democracies.

Generative AI, biometrics, spatial computing, electric vehicles—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2025 will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

Unlock the power of ChatGPT and DALL·E to create passive income and live on your terms. Whether you're looking to earn extra money, achieve financial independence, or explore new opportunities, this guide shows you how to succeed, even with no prior AI experience.

Every day, it seems like there’s a new AI tool on the market and a new, complicated way to use it. But what if you could use AI to make your life easier without the complications? In AI for Life, AI expert and creator of @SmartWorkAI offers over 100 ideas and ready-to-use prompts to get AI beginners started using the technology to actually improve their lives.

In How to Create a Mind, Ray Kurzweil presents a provocative exploration of the most important project in human-machine civilization: reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines. Kurzweil discusses how the brain functions, how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence to address the world’s problems.

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.