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LLMs Interview Notes

Study notes and interview questions on how large language models work, written in Chinese.

What it does

This is a collection of notes and interview questions for people preparing for jobs working on large language models. It is written in Chinese.

Topics run from basics like splitting text into words and word meanings, through the Transformer design behind modern models, to training data and training across many machines. The author also links small hands-on projects for building a tiny model and simple AI tools from scratch.

Who it's for

Chinese-speaking students and engineers preparing for AI jobs.

Can I use it without coding?

Yes. It can be read online as a website. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Web browser
Computer
An ordinary computer is fine
API key
Not needed

Try it

  1. Open the online reading version of the notes in your web browser.
  2. Keep in mind that the notes are written in Chinese.

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • No standard license listed. Check the GitHub page before using it for business.
  • More on staying safe