A cabinet of ideas at the edges of science, perception, and play.Thoughtful choices. Clear sources.
101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) — cover

Book cover from the publisher catalogue.

Books

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
View on Amazon

Details are supplied by the publisher catalogue. Confirm the edition, price, and availability with the retailer before buying.

0 reader favourites

Real votes on Curiosity Killed the Cat. This is an interest count, not a review score.

Curiosity Killed the Cat / The reading view

For the question you cannot leave alone.

If Machine Learning 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 Programming Projects. 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. Save it for the next time you want to follow the idea further.

Find your reading angle →

Curiosity Killed the Cat reading lens

Follow the surprising question

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 description distinguish an explanation from an intriguing possibility?

Try this with the topic

Write an observation connected to one of the topics. List two possible explanations and the evidence that would help you tell them apart.

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.

Make room for the reading

A little planning helps.

Estimate sessions from the listed page count. Technical exercises and rereading can take extra time.

72 sessions at 10 pages per session.

Keep the thread going

Related directions.

Explore another angle on the subject.