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Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

In Like, bestselling author and renowned strategist Martin Reeves and coauthor Bob Goodson—Silicon Valley veteran and participant in the invention of the like button—take listeners along on a fascinating quest to find out what's behind the world's friendliest icon. It's a story that starts out as simply as a thumbs-up cartoon but ends up presenting surprises and new mysteries at every turn, some of them as deep as anthropological history and others as speculative as the AI-charged future.

In The Optimist, the Wall Street Journal reporter Keach Hagey presents the most detailed account yet of Altman’s rise, from his precocious childhood in St. Louis to his first, failed startup experience; his time as legendary entrepreneur Paul Graham’s protégé and successor as head of Y Combinator, the start-up accelerator where Altman became the premier power broker in Silicon Valley; the founding of OpenAI and his recruitment of a small yet superior team; and his struggle to keep his company at the cutting edge while fending off determined rivals, including Elon Musk.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

‘Hey, how you doing readers? Adam Buxton here… Let's begin with a recap. No, don't skip it! It's great stuff in the form of a montage of scenes from a film that would certainly revive the flagging fortunes of the cinema were it to be made: The Adam Buxton Story…’ So begins Love You, Bye – Adam Buxton’s wonderful follow up to the bestselling Ramble Book.

From the rise of leetspeak and words such as “skibidi” to the trend of adding “-core” to different influencer aesthetics, the internet has ushered in an unprecedented linguistic upheaval. We’re entering an entirely new era of etymology, heralded by the invisible forces driving social media algorithms. Thankfully, Algospeak is here to explain. As a professional linguist, Adam Aleksic understands the gravity of language and the way we use it: he knows the ways it has morphed and changed, how it reflects society, and how, in its everyday usage, we carry centuries of human history on our tongues.

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.

Our data-intensive world is here to stay, but does that come at the cost of our humanity in terms of autonomy, community, dignity, and equality? In We, the Data, Wendy H. Wong argues that we cannot allow that to happen. Exploring the pervasiveness of data collection and tracking, Wong reminds us that we are all stakeholders in this digital world, who are currently being left out of the most pressing conversations around technology, ethics, and policy.

From a brilliant longtime AI insider granted intimate access to the world of Sam Altman and OpenAI from the beginning, an eye-opening account of arguably the most fateful tech arms race in history, reshaping the planet in real time, from the cockpit of the company that is driving the frenzy.

Dr. Topol’s unprecedented, evidenced-based guide is about how you and your family and friends can benefit from new treatments coming available at a faster rate than ever. From his unique position as a leader overseeing millions in research funding, Dr. Topol also explains the fundamental reasons—from semaglutides to AI—that we can be confident these breakthroughs will continue. Ninety-five percent of Americans over sixty have at least one chronic disease and almost as many have two. That is the essential problem this revolution is solving.

Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and concepts from computer science, artificial intelligence, video games, quantum physics, and ancient mystics to explain why we may be living inside a simulated reality like the Matrix. The Simulation Hypothesis is the definitive book on simulation theory and is now completely updated to reflect the latest developments in artificial intelligence and virtual reality.

Marketing in the AI Era is a timely primer on the basics of personalization, and how it can be applied across channels. It includes emerging best practices on how AI is transforming the limits of personalized experiences and offers practical guidance on how to establish a scalable personalization structure that fits your organization along with a clear, repeatable process that you can implement right away.

If you told Aiden Arata in 1995 that the internet would one day crown her the “meme queen of depression” and mega corporations would fly her to conferences to speak about commodifying one's emotions for views, she would have asked you what a meme was. Now, in her highly anticipated debut, she brings us raw reportage from that liminal space between online and offline worlds, illuminating how we got here and where to go next.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Algorithms, machine learning, generative AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk—and fall behind. If you read (or listen to) nothing else on setting a data strategy in your organization, listen to these ten articles.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

The question TRANSCEND answers is, how can we use Al to unlock humanity's full potential while protecting what is most precious about the human experience? As humanity takes its first steps into the Age of Artificial Intelligence, we are only just beginning to think through the possibilities and the dangers this technology brings. But we do not have time for leisurely speculation. AI will overturn the world we know in our lifetimes, and we must prepare ourselves to meet the unprecedented changes that will soon be upon us.

Zero to Engineer: The Unconventional Blueprint to Securing a 6-Figure IT Career is an intensely practical, no-nonsense guide to starting or rebooting your career in technology. Author and IT industry veteran Terry Kim gives you a first-person view of how to conquer the tech and cybersecurity realms, drawing on his own two decades' experience in the field.