101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)
Book Details
  • ISBN: 9798291798089
  • Published: July 10, 2025
  • Categories: Books Computers & Technology Artificial Intelligence Machine Learning Programming Projects
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101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

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About This Book

101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) is a groundbreaking exploration of Generative AI that has captivated readers worldwide. With 972+ copies sold, this masterpiece offers innovative insights into Generative AI.

Why You'll Love It

  • Comprehensive coverage of deep learning
  • 9 chapters packed with practical advice
  • Perfect for casual reading
  • Includes case studies

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Reader Reviews

4.3
★ ★ ★ ★ ★

Based on 12 reviews

5 stars (90%)
4 stars (24%)
3 stars (3%)
1-2 stars (3%)
David Jones
David Jones
★ ★ ★ ★ ★

July 8, 2025

Fantastic book! Clear, concise, and packed with useful information about ChatGPT. Highly recommended!

Jessica Johnson
Jessica Johnson
★ ★ ★ ★ ☆

February 13, 2025

101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) is a comprehensive exploration of Generative AI that manages to be both accessible to newcomers and valuable to experts. The book is divided into 8 sections, each building thoughtfully on the last. Part 5's discussion of ChatGPT is particularly strong, with clear examples and practical applications. The diagrams and illustrations throughout help clarify complex ideas, and the chapter summaries are excellent for review. My only minor critique is that the conclusion seemed rushed, but this doesn't detract from the overall quality. This will undoubtedly become a standard reference in the field.

David Williams
David Williams
★ ★ ★ ☆ ☆

June 21, 2025

While 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) makes several valuable points about ChatGPT, I found some aspects problematic. The author's treatment of deep learning seems oversimplified, particularly when compared to text generation. That said, the sections on machine learning are genuinely insightful and make the book worth reading despite its flaws. With some refinement in deep learning, this could be a truly outstanding work.

Emily Miller
Emily Miller
★ ★ ★ ★ ☆

April 8, 2025

Fantastic book! Clear, concise, and packed with useful information about ChatGPT. Highly recommended!

James Smith
James Smith
★ ★ ★ ★ ★

March 24, 2025

Fantastic book! Clear, concise, and packed with useful information about ChatGPT. Highly recommended!

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Community Discussions

James Rodriguez
Discussion about Generative AI in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

Posted by James Rodriguez on July 8, 2025

Discussion: What did everyone think of the author's treatment of transformers? I found it more technical compared to other works in the field.

Jessica Brown

Jessica Brown August 2, 2025

To add to this, I found similar examples which seems to support your point.

Jennifer Smith

Jennifer Smith July 25, 2025

To add to this, I found similar examples which seems to support your point.

Emily Williams

Emily Williams July 23, 2025

This reminds me of a similar condept from somewhere.

David Davis
Discussion about ChatGPT in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

Posted by David Davis on July 5, 2025

Can someone help me understand Diffusion models from chapter 9? I'm struggling to see how it connects to deep learning.

Lisa Johnson

Lisa Johnson July 28, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

Robert Miller

Robert Miller July 28, 2025

To add to this, I found similar examples which seems to support your point.

Thomas Johnson

Thomas Johnson July 25, 2025

This reminds me of a similar condept from somewhere.

Thomas Johnson

Thomas Johnson August 1, 2025

I completely agree! This was my experience as well.

Lisa Brown
Discussion about transformers in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

Posted by Lisa Brown on July 13, 2025

Just finished 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) for the 12 time and picked up on so many new insights! The depth of research on text generation is incredible.

James Smith

James Smith August 2, 2025

I completely agree! This was my experience as well.

James Davis

James Davis August 3, 2025

This reminds me of a similar condept from somewhere.

Lisa Garcia

Lisa Garcia August 4, 2025

Interesting perspective. I hadn't considered that angle before.

Jessica Wilson
Discussion about LLMs in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

Posted by Jessica Wilson on July 6, 2025

I've been applying the principles from 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) to my work in Generative AI and seeing amazing results! Specifically, the part about open-source models has been transformative.

David Garcia

David Garcia July 30, 2025

This reminds me of a similar condept from somewhere.

Michael Williams

Michael Williams August 4, 2025

Could you elaborate on what you mean by this? I'm not sure I follow.

Lisa Garcia
Discussion about text generation in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

Posted by Lisa Garcia on July 8, 2025

Has anyone else noticed how 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) relates to open-source models? I was reading about Generative AI and it made me think of chapter 10.

Michael Brown

Michael Brown August 4, 2025

I completely agree! This was my experience as well.

Emily Jones

Emily Jones July 31, 2025

I completely agree! This was my experience as well.

Thomas Smith

Thomas Smith July 21, 2025

To add to this, I found similar examples which seems to support your point.