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

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

ISBN: 9798291798089 | Published: July 10, 2025 | Categories: Books, Computers & Technology, Artificial Intelligence, Machine Learning, Programming Projects
$181.99

This Books book offers Generative AI and Diffusion models and ChatGPT and transformers and LLMs and machine learning and deep learning and text generation and AI projects and open-source models content that will transform your understanding of Generative AI. 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) has been praised by critics and readers alike for its Generative AI, Diffusion models, ChatGPT.

The award-winning author brings years of experience to this Books work, making it a must-have for anyone interested in Generative AI or Diffusion models or ChatGPT or transformers or LLMs or machine learning or deep learning or text generation or AI projects or open-source models.

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Book Stats

4
Average Rating
312
Reviews
408
Pages
1
Editions
3
Languages
1
Awards
5
Weeks on List

What People Are Saying

Essential reading for anyone interested in transformers.

— Alex Johnson
The New York Times

This book redefines what we thought we knew about transformers.

— Sam Wilson
Booklist

deep learning has never been explained so clearly and powerfully.

— Taylor Smith
Publishers Weekly

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Customer Reviews

Sasha Carver

Sasha Carver

Prose Professional

★★★★☆

Great book about Generative AI! Highly recommend.Essential reading for anyone into Books.Couldn't put it down - finished in one sitting!The best Books book I've read this year.Worth every penny - packed with useful insights about Artificial Intelligence.A must-read for text generation enthusiasts.

January 25, 2026
Jules Avery

Jules Avery

Thoughtful Theorist

★★★★★

101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) offers a compelling take on Generative AI, though not without flaws. While the treatment of deep learning is excellent, I found the sections on machine learning less convincing. The author makes some bold claims about Books that aren't always fully supported. That said, the book's strengths in discussing open-source models more than compensate for any weaknesses. Readers looking for deep learning will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on text generation, if not the definitive work.

January 5, 2026
Rory Easton

Rory Easton

Suspense Navigator

★★★★★

This work by 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) represents a significant contribution to the field of Books. The author's approach to Generative AI demonstrates a sophisticated understanding that will benefit both novice and experienced readers alike. Particularly noteworthy is the discussion on Diffusion models, which provides fresh insights into Diffusion models. The methodological rigor and theoretical framework make this an essential read for anyone interested in LLMs. While some may argue that Diffusion models, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of text generation.

January 14, 2026
Kaiya Snow

Kaiya Snow

Page Designer

★★★★☆

I absolutely loved 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)! It completely changed my perspective on Generative AI. At first I wasn't sure about deep learning, but by chapter 3 I was completely hooked. The way the author explains Artificial Intelligence is so clear and relatable - it's like they're talking directly to you. I've already recommended this to all my friends who are interested in deep learning. What I appreciated most was how the book made ChatGPT feel so accessible. I'll definitely be rereading this one - there's so much to take in!

January 8, 2026
Blake Wynn

Blake Wynn

Chronicle Critique

★★★★★

This work by 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) represents a significant contribution to the field of Books. The author's approach to Generative AI demonstrates a sophisticated understanding that will benefit both novice and experienced readers alike. Particularly noteworthy is the discussion on Programming Projects, which provides fresh insights into Machine Learning. The methodological rigor and theoretical framework make this an essential read for anyone interested in Artificial Intelligence. While some may argue that ChatGPT, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Generative AI.

February 1, 2026
Taryn Miller

Taryn Miller

Bookshop Blogger

★★★★☆

Great book about Generative AI! Highly recommend.Essential reading for anyone into Books.Couldn't put it down - finished in one sitting!The best Books book I've read this year.Worth every penny - packed with useful insights about deep learning.A must-read for LLMs enthusiasts.

January 23, 2026
Zion Caldwell

Zion Caldwell

Imagination Architect

★★★★☆

I absolutely loved 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)! It completely changed my perspective on Generative AI. At first I wasn't sure about Programming Projects, but by chapter 3 I was completely hooked. The way the author explains Diffusion models is so clear and relatable - it's like they're talking directly to you. I've already recommended this to all my friends who are interested in Diffusion models. What I appreciated most was how the book made Computers & Technology feel so accessible. I'll definitely be rereading this one - there's so much to take in!

January 19, 2026
Dane Holloway

Dane Holloway

Scene Structure Analyst

★★★★★

This work by 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) represents a significant contribution to the field of Books. The author's approach to Generative AI demonstrates a sophisticated understanding that will benefit both novice and experienced readers alike. Particularly noteworthy is the discussion on AI projects, which provides fresh insights into Diffusion models. The methodological rigor and theoretical framework make this an essential read for anyone interested in Artificial Intelligence. While some may argue that Books, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Books.

January 20, 2026
Mika Sloan

Mika Sloan

Fantasy Map Connoisseur

★★★★★

I absolutely loved 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)! It completely changed my perspective on Generative AI. At first I wasn't sure about Machine Learning, but by chapter 3 I was completely hooked. The way the author explains transformers is so clear and relatable - it's like they're talking directly to you. I've already recommended this to all my friends who are interested in transformers. What I appreciated most was how the book made open-source models feel so accessible. I'll definitely be rereading this one - there's so much to take in!

January 6, 2026
Holland Cruz

Holland Cruz

Critique Companion

★★★★☆

This work by 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) represents a significant contribution to the field of Books. The author's approach to Generative AI demonstrates a sophisticated understanding that will benefit both novice and experienced readers alike. Particularly noteworthy is the discussion on Books, which provides fresh insights into machine learning. The methodological rigor and theoretical framework make this an essential read for anyone interested in Machine Learning. While some may argue that Computers & Technology, the overall quality of the research and presentation is undeniable. This volume will undoubtedly become a standard reference in the field of Artificial Intelligence.

January 13, 2026
Indigo Mercer

Indigo Mercer

Library Whisperer

★★★★★

I absolutely loved 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)! It completely changed my perspective on Generative AI. At first I wasn't sure about Computers & Technology, but by chapter 3 I was completely hooked. The way the author explains LLMs is so clear and relatable - it's like they're talking directly to you. I've already recommended this to all my friends who are interested in deep learning. What I appreciated most was how the book made Books feel so accessible. I'll definitely be rereading this one - there's so much to take in!

January 11, 2026
Raven Lowell

Raven Lowell

Literature Remix Artist

★★★★☆

101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) offers a compelling take on Generative AI, though not without flaws. While the treatment of Programming Projects is excellent, I found the sections on machine learning less convincing. The author makes some bold claims about Computers & Technology that aren't always fully supported. That said, the book's strengths in discussing LLMs more than compensate for any weaknesses. Readers looking for deep learning will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on LLMs, if not the definitive work.

January 6, 2026

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Reader Discussions

Alex Johnson

Alex Johnson

Book club discussion: 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) - chapter 14 thoughts?

Alex Johnson
Alex Johnson

I think the author could have developed text generation more, but overall great.

Sam Wilson
Sam Wilson

What did you think about open-source models? That's what really stayed with me.

Taylor Smith
Taylor Smith

Have you thought about how Diffusion models relates to LLMs? Adds another layer!

Jordan Lee
Jordan Lee

I think the author could have developed Generative AI more, but overall great.

Casey Brown
Casey Brown

For me, the real strength was text generation, but I see what you mean about AI projects.

Morgan Taylor
Morgan Taylor

I'm not sure I agree about transformers. To me, it seemed more like machine learning.

Jamie Garcia
Jamie Garcia

Yes! And don't forget about open-source models - that part was amazing.

Sam Wilson

Sam Wilson

I'm halfway through 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) and LLMs is blowing my mind!

Sam Wilson
Sam Wilson

For me, the real strength was machine learning, but I see what you mean about deep learning.

Taylor Smith
Taylor Smith

I'm not sure I agree about Generative AI. To me, it seemed more like LLMs.

Jordan Lee
Jordan Lee

For me, the real strength was text generation, but I see what you mean about Generative AI.

Casey Brown
Casey Brown

Great point! It reminds me of Generative AI from another book I read.

Morgan Taylor
Morgan Taylor

For me, the real strength was ChatGPT, but I see what you mean about ChatGPT.

Jamie Garcia
Jamie Garcia

Great point! It reminds me of open-source models from another book I read.

Riley Martinez
Riley Martinez

Yes! And don't forget about Generative AI - that part was amazing.

Harper Davis
Harper Davis

I'd add that deep learning is also worth considering in this discussion.

Taylor Smith

Taylor Smith

Just finished 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) - wow! The part about transformers really got me thinking.

Taylor Smith
Taylor Smith

What did you think about AI projects? That's what really stayed with me.

Jordan Lee
Jordan Lee

I'm not sure I agree about ChatGPT. To me, it seemed more like LLMs.

Casey Brown
Casey Brown

I'm not sure I agree about open-source models. To me, it seemed more like deep learning.

Morgan Taylor
Morgan Taylor

I'd add that LLMs is also worth considering in this discussion.

Jordan Lee

Jordan Lee

Can we talk about how 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) handles Diffusion models? So machine learning!

Jordan Lee
Jordan Lee

I completely agree! The way the author approaches machine learning is brilliant.

Casey Brown
Casey Brown

What did you think about LLMs? That's what really stayed with me.

Morgan Taylor
Morgan Taylor

Interesting perspective. I saw Generative AI differently - more as Generative AI.

Jamie Garcia
Jamie Garcia

Yes! And don't forget about open-source models - that part was amazing.

Riley Martinez
Riley Martinez

I completely agree! The way the author approaches open-source models is brilliant.

Harper Davis
Harper Davis

What did you think about deep learning? That's what really stayed with me.

Quinn Bennett
Quinn Bennett

I think the author could have developed machine learning more, but overall great.

Casey Brown

Casey Brown

Can we talk about how 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) handles Diffusion models? So Generative AI!

Casey Brown
Casey Brown

Yes! And don't forget about machine learning - that part was amazing.

Morgan Taylor
Morgan Taylor

Have you thought about how LLMs relates to open-source models? Adds another layer!

Jamie Garcia
Jamie Garcia

For me, the real strength was text generation, but I see what you mean about machine learning.

Morgan Taylor

Morgan Taylor

Can we talk about how 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) handles Diffusion models? So text generation!

Morgan Taylor
Morgan Taylor

I'd add that deep learning is also worth considering in this discussion.

Jamie Garcia
Jamie Garcia

Interesting perspective. I saw text generation differently - more as deep learning.

Riley Martinez
Riley Martinez

Have you thought about how text generation relates to transformers? Adds another layer!

Harper Davis
Harper Davis

I'd add that AI projects is also worth considering in this discussion.

Quinn Bennett
Quinn Bennett

Yes! And don't forget about Generative AI - that part was amazing.

Reese Campbell
Reese Campbell

What did you think about AI projects? That's what really stayed with me.

Drew Parker
Drew Parker

I completely agree! The way the author approaches text generation is brilliant.

Jamie Garcia

Jamie Garcia

Has anyone else read 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)? I'd love to discuss ChatGPT!

Jamie Garcia
Jamie Garcia

Great point! It reminds me of open-source models from another book I read.

Riley Martinez
Riley Martinez

Great point! It reminds me of text generation from another book I read.

Harper Davis
Harper Davis

Yes! And don't forget about Generative AI - that part was amazing.

Quinn Bennett
Quinn Bennett

I think the author could have developed LLMs more, but overall great.

Reese Campbell
Reese Campbell

Yes! And don't forget about ChatGPT - that part was amazing.

Riley Martinez

Riley Martinez

Has anyone else read 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)? I'd love to discuss Diffusion models!

Riley Martinez
Riley Martinez

I'm not sure I agree about text generation. To me, it seemed more like AI projects.

Harper Davis
Harper Davis

What did you think about LLMs? That's what really stayed with me.

Quinn Bennett
Quinn Bennett

Have you thought about how transformers relates to Diffusion models? Adds another layer!

Reese Campbell
Reese Campbell

Yes! And don't forget about ChatGPT - that part was amazing.

Drew Parker
Drew Parker

Great point! It reminds me of Diffusion models from another book I read.

Elliot Morgan
Elliot Morgan

I'd add that deep learning is also worth considering in this discussion.

Avery Stone
Avery Stone

Have you thought about how ChatGPT relates to Generative AI? Adds another layer!