awesome_LLMs_interview_notes

Why we included this project

Preparing for machine learning engineering interviews that center on large language models? This repository gathers the interview questions and reference answers you are likely to face. It is a study companion rather than a tool you run, so plan to read through it while practicing on your own. The notes are written in Chinese and stay on the algorithmic side of LLM work, covering training and architecture questions that interviewers tend to probe. A caveat worth knowing: the maintainer has acknowledged a copyright dispute and is gradually removing material, directing readers to the original paid source, so the collection may keep shrinking. It still works as a quick structured refresher before an interview, but check the details against the sources it cites.