I'm still working through chapter 4 of Sebastian Raschka's book "Build a Large Language Model (from Scratch)". This chapter not only puts together the pieces that the previous ones covered, but adds on a few extra steps. I'd previously been thinking of these steps as just useful engineering techniques ("folding, spindling and mutilating" the context vectors) to take a model that would work in theory, but not in practice, and make it something trainable and usable -- but in this post I'll expl...
