Courses by Shervine Amidi
Super Study Guide: Transformers & Large Language Models
The book "Super Study Guide: Transformers & Large Language Models" is a concise and visual guide for those who want to understand the structure of large...
Shervine Amidi
Sherwin Amidi is a workshop instructor on transformers and large language models at Stanford, as well as a member of the Gemini team at Google, where he uses large language models to process action-based queries. Previously, Sherwin worked on applied machine learning tasks for recommendation systems at Uber Eats, focusing on representation learning to improve meal recommendations. In addition, he has published several scientific papers at the intersection of deep learning and computational biology. Sherwin earned bachelor's and master's degrees from École Centrale Paris, as well as a master's degree from Stanford University.