How does 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) compare to other works about transformers?
101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
$102.99
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 a fresh perspective 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.
Bestseller
New Release
Editor's Pick
Book Stats
4
Average Rating
188
Reviews
500
Pages
1
Editions
1
Languages
3
Awards
12
Weeks on List
What People Are Saying
The definitive work on text generation for our generation.
The New York Times
The AI projects discussion alone is worth the price of admission.
Booklist
Essential reading for anyone interested in machine learning.
Publishers Weekly
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Tue, 03 Feb 2026 16:00:00 +0000Customer Reviews
Dane Holloway
Scene Structure Analyst
★★★★★
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 Generative AI 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 Programming Projects. What I appreciated most was how the book made machine learning feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 29, 2026
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 Machine Learning 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 Machine Learning. What I appreciated most was how the book made Programming Projects feel so accessible. I'll definitely be rereading this one - there's so much to take in!
January 12, 2026
Holland Cruz
Critique Companion
★★★★☆
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 Computers & Technology is excellent, I found the sections on machine learning less convincing. The author makes some bold claims about Programming Projects that aren't always fully supported. That said, the book's strengths in discussing text generation more than compensate for any weaknesses. Readers looking for LLMs will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on open-source models, if not the definitive work.
February 2, 2026
Indigo Mercer
Library Whisperer
★★★★★
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 ChatGPT.A must-read for machine learning enthusiasts.
January 22, 2026
Raven Lowell
Literature Remix Artist
★★★★☆
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 text generation.A must-read for Programming Projects enthusiasts.
January 21, 2026
Lior Black
Narrative Synthesizer
★★★★★
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 Computers & Technology is excellent, I found the sections on Programming Projects less convincing. The author makes some bold claims about Machine Learning that aren't always fully supported. That said, the book's strengths in discussing deep learning more than compensate for any weaknesses. Readers looking for text generation will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on transformers, if not the definitive work.
January 17, 2026
Callan Voss
Worldbuilding Enthusiast
★★★★★
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 Books is excellent, I found the sections on Generative AI less convincing. The author makes some bold claims about Programming Projects that aren't always fully supported. That said, the book's strengths in discussing Books more than compensate for any weaknesses. Readers looking for Books will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on Books, if not the definitive work.
January 20, 2026
Noa Kendall
TBR List Curator
★★★★☆
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 ChatGPT.A must-read for Machine Learning enthusiasts.
February 3, 2026
Sage Winslow
Bookish Bard
★★★★★
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 Books is excellent, I found the sections on Books less convincing. The author makes some bold claims about ChatGPT that aren't always fully supported. That said, the book's strengths in discussing Machine Learning more than compensate for any weaknesses. Readers looking for Diffusion models will find much to appreciate here, even if not every argument lands perfectly. Overall, a valuable addition to the literature on transformers, if not the definitive work.
January 28, 2026
Jory Stanton
Bookstore Nomad
★★★★☆
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 Artificial Intelligence is excellent, I found the sections on LLMs less convincing. The author makes some bold claims about transformers that aren't always fully supported. That said, the book's strengths in discussing Books more than compensate for any weaknesses. Readers looking for Generative AI 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.
February 2, 2026
Hale Rivers
Audio Book Binger
★★★★☆
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 Programming Projects.A must-read for Generative AI enthusiasts.
January 17, 2026
Briar Noel
Book Launch Insider
★★★★★
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 AI projects is excellent, I found the sections on Programming Projects less convincing. The author makes some bold claims about LLMs that aren't always fully supported. That said, the book's strengths in discussing transformers 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 Machine Learning, if not the definitive work.
January 10, 2026You May Also Like
Reader Discussions
Alex Johnson
January 23, 2026
Sam Wilson
January 27, 2026
How does 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) compare to other works about Diffusion models?
Sam Wilson
January 29, 2026
Yes! And don't forget about Diffusion models - that part was amazing.
Taylor Smith
February 3, 2026
Great point! It reminds me of open-source models from another book I read.
Jordan Lee
January 29, 2026
Have you thought about how AI projects relates to open-source models? Adds another layer!
Casey Brown
January 29, 2026
I'm not sure I agree about text generation. To me, it seemed more like ChatGPT.
Morgan Taylor
January 31, 2026
Interesting perspective. I saw ChatGPT differently - more as AI projects.
Jamie Garcia
February 2, 2026
Great point! It reminds me of open-source models from another book I read.
Taylor Smith
January 23, 2026
Has anyone else read 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)? I'd love to discuss text generation!
Taylor Smith
January 31, 2026
I completely agree! The way the author approaches Diffusion models is brilliant.
Jordan Lee
January 29, 2026
Have you thought about how transformers relates to Diffusion models? Adds another layer!
Casey Brown
January 28, 2026
I completely agree! The way the author approaches machine learning is brilliant.
Morgan Taylor
February 2, 2026
I'm not sure I agree about deep learning. To me, it seemed more like ChatGPT.
Jamie Garcia
February 3, 2026
I'm not sure I agree about ChatGPT. To me, it seemed more like deep learning.
Riley Martinez
January 31, 2026
I'm not sure I agree about ChatGPT. To me, it seemed more like open-source models.
Harper Davis
February 1, 2026
I'm not sure I agree about Generative AI. To me, it seemed more like open-source models.
Jordan Lee
January 28, 2026
Can we talk about how 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) handles open-source models? So text generation!
Jordan Lee
January 29, 2026
Interesting perspective. I saw machine learning differently - more as text generation.
Casey Brown
January 29, 2026
For me, the real strength was ChatGPT, but I see what you mean about open-source models.
Morgan Taylor
January 29, 2026
I'm not sure I agree about open-source models. To me, it seemed more like LLMs.
Jamie Garcia
January 31, 2026
For me, the real strength was ChatGPT, but I see what you mean about Generative AI.
Riley Martinez
February 2, 2026
Yes! And don't forget about open-source models - that part was amazing.
Casey Brown
January 27, 2026
After reading 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback), I'm seeing AI projects in a whole new light.
Casey Brown
January 30, 2026
Yes! And don't forget about ChatGPT - that part was amazing.
Morgan Taylor
January 30, 2026
I think the author could have developed LLMs more, but overall great.
Jamie Garcia
February 1, 2026
I'm not sure I agree about open-source models. To me, it seemed more like deep learning.
Riley Martinez
January 29, 2026
I completely agree! The way the author approaches Diffusion models is brilliant.
Harper Davis
January 29, 2026
I'd add that LLMs is also worth considering in this discussion.
Morgan Taylor
January 23, 2026
After reading 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback), I'm seeing text generation in a whole new light.
Morgan Taylor
February 1, 2026
Have you thought about how open-source models relates to Generative AI? Adds another layer!
Jamie Garcia
January 30, 2026
I'm not sure I agree about deep learning. To me, it seemed more like Generative AI.
Riley Martinez
January 29, 2026
Have you thought about how machine learning relates to transformers? Adds another layer!
Harper Davis
February 3, 2026
For me, the real strength was machine learning, but I see what you mean about Diffusion models.
Quinn Bennett
January 31, 2026
I'm not sure I agree about machine learning. To me, it seemed more like transformers.
Reese Campbell
January 29, 2026
What did you think about AI projects? That's what really stayed with me.
Jamie Garcia
January 29, 2026
Has anyone else read 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)? I'd love to discuss Generative AI!
Jamie Garcia
February 4, 2026
What did you think about AI projects? That's what really stayed with me.
Riley Martinez
January 31, 2026
What did you think about AI projects? That's what really stayed with me.
Harper Davis
January 30, 2026
For me, the real strength was open-source models, but I see what you mean about deep learning.
Quinn Bennett
February 1, 2026
For me, the real strength was transformers, but I see what you mean about deep learning.
Reese Campbell
February 3, 2026
I completely agree! The way the author approaches AI projects is brilliant.
Drew Parker
January 29, 2026
Great point! It reminds me of open-source models from another book I read.
Riley Martinez
February 3, 2026
Can we talk about how 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) handles open-source models? So open-source models!
Riley Martinez
February 1, 2026
For me, the real strength was Generative AI, but I see what you mean about ChatGPT.
Harper Davis
January 30, 2026
Interesting perspective. I saw LLMs differently - more as deep learning.
Quinn Bennett
January 30, 2026
Great point! It reminds me of Generative AI from another book I read.
Reese Campbell
January 30, 2026
Have you thought about how ChatGPT relates to Generative AI? Adds another layer!
I completely agree! The way the author approaches ChatGPT is brilliant.
Have you thought about how LLMs relates to deep learning? Adds another layer!