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OP here. For some context, something I should have mentioned in the original post but failed to do: I was not intending to do a professional pivot to an AI rol
by quibono 4y ago
OP here.
For some context, something I should have mentioned in the original post but failed to do: I was not intending to do a professional pivot to an AI role; it is more of a personal interest. I used to be really excited about this stuff and am looking forward to getting involved in it again just because I find it interesting.
Thank you, I really appreciate everyone's responses.
- godelski 4y agoI'm not sure why people are telling you professional stuff. You do you. I am an ML researcher working on generative modeling. I think you have enough experience that you'll catch up quickly. But the question is most what you're interested in? With that I can give better advice. Don't let anyone stop you from learning just to learn. Not everything has to be a career. A lot of us got here because it's fun. I do think you'll pick up diffusion models quickly. I like the explicit density side of things more and density estimation. So I like Song's works and similar with Kingma. Also check out Lilian Wang's blogs. They are a wealth of material and sources. Can't go wrong there. You'll find that diffusion and VAEs are kinda similar. The difficulty you'll have in understanding something like stable diffusion is actually the programming (at least this was the hardest part for me). Good luck and let me know if I can help.
- maurits 4y agoIm an ML researcher (reinforcement learning). I learned by implementing papers from scratch endlessly. Any specific subfield you are interested in?
- optbuild 4y agoWhat kind of programming and math proficiency is good to have before someone starts to implement papers?