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Just finished "101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs " - my thoughts
I've been using 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs as a textbook for my text generation course, and my students absolutely love it!
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 deep learning?
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Best practices for text generation?
I'm working on a project that involves machine learning 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?
Best practices for AI projects?
I'm working on a project that involves LLMs 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).
Great review! I just picked up 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) based on your recommendation.
I've been recommending 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) to all my coding bootcamp students.
I've been using the techniques from 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) in my current project with great success.
The code samples in 101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback) are well-documented and easy to follow.