# ARIS-in-AI-Offer

A bilingual collection of machine-learning, LLM, diffusion and agent interview cheat sheets for Chinese AI campus recruiting, auto-generated by the ARIS research-automation project, plus a CV-to-academic-homepage generator.

ARIS-in-AI-Offer is a curated set of Chinese-and-English interview cheat sheets for machine-learning, large-language-model, multimodal, diffusion and agent topics, aimed at China's autumn campus-recruiting season. It has 35 first-party cheat sheets across eight categories, from general foundations and post-training through generative models, multimodal and embodied AI, plus a community-contributed question bank.

Each cheat sheet follows a three-part structure: formula derivations with intuition, 25 interview questions stratified across three difficulty levels, and runnable from-scratch PyTorch code. The sheets are generated by the interview-cheatsheet and render-html workflows from a separate research-automation project, and are published as single-file HTML pages that read anywhere.

The same render-html workflow also powers a companion tool that turns a CV into a fact-checked academic homepage, and the repository includes hand-authored long-form technical blog posts.

Website: https://github.com/wanshuiyin/ARIS-in-AI-Offer