> I am comfortable with autograd/computation graphs, PyTorch, "classic" neural nets and ones used for vision-type applications, as well as the basics of Transformer networks (I've trained a few smaller ones myself) and RNNs.
It sounds like you're into it already. And you already know which new papers are interesting to you.
It sounds like you're into it already. And you already know which new papers are interesting to you.