A Little Guide to Learning Distributed Algorithms for LLMS Training and Inference [D]

Distributed Training and Inference both involves having a fundamental understanding of how distributed systems work in general Distributed Parallelism Tensor Parallelism Pipeline Parallelism Model Parallelism Reading and reading and reading or even worse, not knowing where to start ;( That’s boring! We want to read what’s just needed and quickly get started with applications and that’s what exactly what I have for you all today Here’s the list of a few initial papers I have read for the past three months that is enough to understand And a few basics too! Read them Code them Play with them I have implemented a few at basic level which you could use as a reference too (the repo is a bit all over the place but I actively trying to maintain and love your feedback too) Link: alphaxiv.org/shared/folder/019de088-28f7-7f02-acd4-c22459fe153e Gh repo: github.com/YuvrajSingh-mist/smolcluster