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This seems more of a course about how to use Generative AI - does anyone have a good recommendation of a course or book about how they actually work?



I watched things mentioned in sibling comments, but didn't help.

Until I found this:

https://www.youtube.com/@algorithmicsimplicity

Instantly clicked. Both convolution and transformer networks.

EDIT: for the purpose of visualization, I highly recommend following channel: https://www.youtube.com/watch?v=eMXuk97NeSI&t=207s

It nicely explains and shows concepts of stride, features, window size, input to output size relation - in convolutional NN


I would also recommend brilliant for absolute beginners, to get to interact with the material.


It depends on your level of expertise.

Andrew Ng's courses on Coursera are helpful to learn about the basics of deep learning. The "Generative AI for Everyone" course and other short courses offer some basic insight, and you can continue from there.

https://www.coursera.org/specializations/deep-learning

https://www.deeplearning.ai/courses/generative-ai-for-everyo...

HuggingFace has some nice courses as well: https://huggingface.co/learn/nlp-course/

Jay Allamer has a nice blog post on the Transformer architecture: https://www.deeplearning.ai/short-courses/

And eventually you will probably end up reading papers on arxiv.org :)


Kaparthy uploaded a 1hr talk to YouTube recently: https://www.youtube.com/watch?v=zjkBMFhNj_g


Here's a list of free courses and textbooks: https://phaseai.com/resources/free-resources-ai-ml-2024 I reviewed all of these to ensure they're high quality + not sales/marketing fluff. Enjoy!


This Intro to Transformers is helpful to get some basic understanding of the underyling concepts and it comes with a really succint history lesson as well. https://www.youtube.com/watch?v=XfpMkf4rD6E



thank you, the replies to your comment are far better than this marketroid rubbish that doesn't even tell you how to run a generative ai, much less write one




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