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Generative AI in 20 Minutes: (Coffee Break Series) — cover

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Generative AI in 20 Minutes: (Coffee Break Series)

By Kenwright

This book aims to demystify the principles behind generative models, unravel the algorithms powering them, and explore applications spanning art, design, and natural language processing. As you navigate the book, you'll learn about both the theory and practice, you not only learn about the marvels of generative creativity but also the ethical conundrums and challenges that accompany this evolving field. The aim of this book is both to enlighten you on the models, algorithms and underlying principles while feeding your curiosity and imagination. This book aims to empower you with the foundational knowledge required to appreciate and responsibly navigate the exciting intersections of artificial intelligence and human creativity. Welcome to a future where machines not only learn but create, but will transform the way we interact with technology and opening up new dimensions of human-machine collaboration.

Pages
161
Publication
4 January 2024
Language
English
ISBN
9798873892549
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If Expert Systems keeps catching your attention, “Generative AI in 20 Minutes: (Coffee Break Series)” is a title to put on your radar. Its listed scope opens a worthwhile conversation about Books. Machine-learning topics become more concrete when the question, data, and evaluation are kept together. Start with the decision you want to support and examine what the available evidence would need to show. Follow the most surprising question first. Sketch an explanation, imagine an alternative, and see what you would need to distinguish them. The best part of an interesting subject is often the next question it unlocks. Worth exploring when you are ready for a fresh reading direction.

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Publisher’s synopsis

Generative AI in 20 Minutes: (Coffee Break Series) offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

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