Artificial Intelligence Theory

Are you ready to turn AI into income? Whether you're a total beginner or a seasoned entrepreneur, this book gives you the exact prompts, strategies, and systems to monetize ChatGPT and build scalable online businesses—fast.

Celebrated data-driven growth leader Lillian Pierson delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth.

The next phase of the internet—multimodal, vision-enabled AI that will transform society.

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.

Our beliefs constitute a large part of our knowledge of the world. We have beliefs about objects, about culture, about the past, and about the future. We have beliefs about other people, and we believe that they have beliefs as well. We use beliefs to predict, to explain, to create, to console, to entertain. Some of our beliefs we call theories, and we are extraordinarily creative at constructing them. Theories of quantum mechanics, evolution, and relativity are examples.

As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready? In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us.

In The Last Book Written by a Human, tech entrepreneur Jeff Burningham delivers a profound and urgent exploration of what it truly means to be human in the age of AI—challenging us to embrace wisdom, love, and deep human connection as we navigate an uncertain future alongside machines.

An industry-specific guide to the applications of advanced analytics and AI to the banking industry.

Feeling like your business is running you? Do you want to earn more—without working around the clock? This is your step-by-step, no-fluff guide to reclaiming your time, focus, and sanity through the power of Artificial Intelligence (AI)—no tech skills required.

From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members.

In the dynamic world of finance, artificial intelligence is no longer the future—it’s the present. Yet for many everyday investors, the rapid rise of AI-driven tools can feel overwhelming, opaque, or simply out of reach. If you’ve ever asked yourself how to adopt AI in your portfolio or wondered whether the next breakthrough algorithm could power your financial success, this book is your comprehensive guide.

Are you ready to turn your ideas into income using the power of artificial intelligence? Whether you're a complete beginner or a curious entrepreneur, Make Money with AI: The Ultimate 3-in-1 Guide gives you the exact blueprint to launch, grow, and scale a profitable AI-powered business — step by step.

Are you ready to turn artificial intelligence into real income—fast? Whether you're a complete beginner or a digital hustler looking to scale, this 3-in-1 blueprint reveals the exact strategies to build profitable AI-powered income streams from scratch.

AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale. This book bridges the gap between machine learning theory and practical product delivery, offering a step-by-step blueprint for integrating AI into every stage of product development.

Since the public release of Open AI’s ChatGPT, Google’s Bard, and other similar systems, some Members of Congress have expressed interest in the risks associated with “generative artificial intelligence (AI).” Although exact definitions vary, generative AI is a type of AI that can generate new content—such as text, images, and videos—through learning patterns from pre-existing data.

Are you still treating AI like a novelty—or are you ready to make it your most powerful business ally? In AI ChatGPT: Prompt Engineering Secrets, Maxwell Cyberstein doesn’t just show you how to talk to artificial intelligence. He teaches you how to think with it, build with it, and grow with it—whether you’re an entrepreneur, marketer, freelancer, or simply someone looking to save time and create with more clarity. This is not another dry tech manual.

Are you ready to turn artificial intelligence into your personal income engine? Whether you're a complete beginner or a seasoned entrepreneur, Monetize AI Now delivers the exact blueprint to generate consistent, scalable income using AI tools, platforms, and strategies that work right now.

Artificial intelligence is revolutionizing the modern world. It is ubiquitous-in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose.

Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all agree: machines will soon do everything better than humans. How to Stay Smart in a Smart World shows why that's not true, and tells us how we can stay in charge in a world populated by algorithms.

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