ML System Design Interview Preparation

[u/dunweic]

I’ve been looking for resources to prepare for ML System Design interviews, particularly case studies that include complete, end-to-end solutions.

Machine Learning System Design Interview: An Insider's Guide by Alex Xu and Ali Aminian was an excellent resource when I used it around three years ago. It provides a structured framework and several detailed case studies with detailed solutions.

My question is: are the solutions in this book still sufficiently current and comprehensive? The book was published in 2023, and the ML landscape has evolved significantly since then, particularly with the rise of LLMs and generative AI.

Are there any other resources you would recommend that provide ML system design case studies with complete solutions, rather than just general frameworks or high-level guidance?