Afshine Amidi is a French ML engineer (formerly at Stanford) and the co-author of the widely-read Super Study Guide series on machine learning, deep learning, and modern AI topics — distilled reference cards used by a generation of ML practitioners and students preparing for ML interviews or refreshing the field's mathematical foundations.
His CourseFlix listing carries Super Study Guide — Transformers & Large Language Models, the LLM-focused entry in the series. The material covers the transformer architecture, attention mechanisms, the training pipeline, and the modern LLM landscape at a level aimed at engineers who want a rigorous reference rather than a hand-wavy overview.
Material is paid and aimed at ML engineers and students. For broader content, see CourseFlix's LLMs & Fundamentals category page.
