I think the only way to really know what's going on, in depth, is to read the original research papers. If you're satisfied with a cursory understanding then y

I think the only way to really know what's going on, in depth, is to read the original research papers. If you're satisfied with a cursory understanding then you can read "derivative" material, otherwise you need to start with the basics of how modern deep learning models work and go deeper until you're able to read and understand more advanced stuff like transformers (and thus GPT).