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

A guide to learning distributed algorithms for LLM training and inference emphasizes the need for a fundamental understanding of distributed systems. The author has implemented basic examples, available on a GitHub repository, which can serve as a reference. The repository, though currently unorganized, is actively maintained, and feedback is encouraged to improve its structure and utility for those interested in distributed algorithms.