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How does "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " compare to other resources?
I'm considering getting "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " but wanted to hear from those who have read it. How does it compare to other books or online courses on ChatGPT?
How does "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " compare to other resources?
I'm considering getting "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " but wanted to hear from those who have read it. How does it compare to other books or online courses on Generative AI?
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Just finished "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " - my thoughts
What sets 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs apart is its focus on practical machine learning techniques. You can immediately apply what you learn to real projects.
Best practices for LLMs?
I'm working on a project that involves AI projects and looking for advice on best practices. Has anyone read "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " and can recommend specific chapters?
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I found the section on error handling particularly helpful in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback).
The online resources that come with 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) are incredibly valuable.