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

By Kenwright

A project-based guide to mastering generative AI using open-source tools, covering text, image, voice, and chatbot models with real-world applications.

Pages: 712
Publication: 10 July 2025
Language: English
ISBN: 9798291798089

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A reading choice with somewhere to go.

If Computers & Technology keeps catching your attention, “101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)” is a title to put on your radar. Its listed scope opens a worthwhile conversation about Artificial Intelligence. 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. The exciting next step is practical: choose a small outcome connected to the topic, attempt it, and use the reading to sharpen your decisions. A modest project can make an ambitious subject feel much more tangible. A promising addition to a reading list with a purpose.

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Try it on a small project

Explore Books, Computers & Technology, Artificial Intelligence with a reading approach that gives the ideas somewhere to go. 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.

The listed 712 pages give a sense of extent; page count alone does not establish depth or difficulty.

A question before you choose

Does the sample explain why an example works, as well as how to reproduce it?

Try this with the topic

Use one listed topic as the starting point for a small working example. Keep a before-and-after result and explain one decision you made.

Publisher’s synopsis

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.

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