I’ve been out of the ml space for over a decade, and aside from reading abstracts here and there have no idea how modern transformer based methods work.
What better way to get up to speed than to implement one from scratch?
This is an attempt to implement a runtime for the LLaMA/alpaca models in julia from core principles and the literature using the llama and llama.cpp codebases as guidance when the papers are obscure.
In the couple of weeks I’ve been pursuing this I’ve come to see a definite trend towards gnosticism over the past ten years. Without code it would take days or weeks of lit review to find the math invovled in each of a dozen functions. Obviously part of this is due to companies not wanting to give too much away about their exceedingly profitable contraptions, but even more, I think, it’s just a rapidly moving field full of enthusiasts who can’t be bothered with catering to those who can’t keep up.
With that in mind, one of the goals of this project is to get the math behind the code as clear as possible. If I get excited I’ll try to push the boundaries of Julia’s “latex that runs” style, but first I need to figure out what’s going on.