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101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

By Kenwright

Learn generative AI through 101 focused projects using cutting-edge models like ChatGPT, Stable Diffusion, and transformers.

WHAT THE PUBLISHER HIGHLIGHTS

  • Master generative AI using step-by-step hands-on projects.
  • Experiment with real-world applications in text, image, and voice.
  • Build a portfolio of intelligent systems using open-source tools.

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Catalogue reference: 1bb628449647d2b0

INSIDE THE BOOK

About this book

Dive into the world of generative AI with 101 progressive projects that teach you how to create, customize, and deploy models across text, image, and voice domains. Whether you're coding a chatbot, building an image generator, or training your own transformer, this book helps you understand each step through practical examples. Ideal for learners, hobbyists, and professionals looking to sharpen their skills in the rapidly evolving field of AI.

From the publisher’s description

  • Master generative AI using step-by-step hands-on projects.
  • Experiment with real-world applications in text, image, and voice.
  • Build a portfolio of intelligent systems using open-source tools.
  • Understand the inner workings of models like ChatGPT, Stable Diffusion, and more.

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ANOTHER PERSPECTIVE

Readers, in their own words

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Reader review3

Good in places

Useful in parts. Fine as a reference, less so as a cover-to-cover read.

I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I found myself making notes in the margins, which is always a good sign. Useful as a reference, less so as a straight read from cover to cover.

Hana PetersonProduct designer · Lyon, FR
101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
Reader review3

Useful in parts

Three stars feels about right. Useful, but not essential.

I had been on the fence about this one for a while, and I should have bought it sooner. The book rewards careful reading. Skimming it would be a mistake. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. Useful as a reference, less so as a straight read from cover to cover.

Maya MitchellMachine learning engineer · Prague, CZ
101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

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