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Comment by srush | Hacker News Reader

I made these a couple of years ago as a teaching exercise for https://minitorch.github.io/. At the time the resources for doing anything on GPUs were pretty sparse and the NVidia docs were quite challenging.

These days there are great resources for going deep on this topic. The CUDA-mode org is particularly great, both their video series and PMPP reading groups.

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Slightly offtopic, but any chance you could update or re-upload code for your https://github.com/harvardnlp/DeepLatentNLP tutorial? I found the NLP latent variable models discussed there really interesting, and notebooks were excellent. However, these seem gone and the only thing left are slides?

Alternatively, any other places that discuss the same topics, including some code? I could only find equivalent discussions with code in Pyro docs and Kevin Murphy's book, volume 2. But these are more sparse as they also cover many other topics.

I'll take a look. Yeah Pyro is the best thing to do here. But it would be nice to revisit some of these implementationz

Thank you so much!

Thanks a lot, Sasha, for creating these. I found your LLM training puzzles to be excellent as well.

Awesome! Here are all of them if anyone else is looking.

https://github.com/srush/Triton-puzzles https://github.com/srush/tensor-puzzles https://github.com/srush/autodiff-puzzles https://github.com/srush/transformer-puzzles https://github.com/srush/GPTworld https://github.com/srush/LLM-Training-Puzzles

Thanks Sasha - this looks like a great resource.Just to be clear, would you recommend going through other newer resources than this instead?

Not sure if your comment is to discourage someone from going through this.

These still hold up, and I think they're a great first step. But they no longer get you to the goal line. Think about it more as conceptual practice, before you enter the jungle.

Got it, thank you.

Do you have links to the other great resources you are referring to?

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