by wanshuiyin · Claude Skill · ★ 222
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ARIS-in-AI-Offer (ARIS in 秋招) Hoping to make your 秋招 (qiūzhāo, Chinese AI campus recruiting season) a little easier 🌱 📖 中文版 (Chinese version): READMECN.md 📚 Jump to a topic — 23 first-party cheat sheets across 7 categories + 1 community-contributed category: 🧠 General / Foundations · 🎯 Post-Training & Reasoning · 🏛️ LLM Architecture & Systems · 🌊 Generative Models — Theory & Tokenizers · 🎨 Generation Systems (Image / Video / 3D / Diffusion Post-Training) · 👁️ Multimodal · 🤖 Agents · 🦾 Embodied AI / 具身智能 Or browse the full 📚 Tutorial Index ↓ · jump to 🌐 ARIS-Homepage ↓. · · [ ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DB. It is categorized as a Claude Skill with 222 GitHub stars.
ARIS-in-AI-Offer is primarily written in Python. It covers topics such as ai-interview, aris, autumn-recruiting.
You can find installation instructions and usage details in the ARIS-in-AI-Offer GitHub repository at github.com/wanshuiyin/ARIS-in-AI-Offer. The project has 222 stars and 10 forks, indicating an active community.
ARIS-in-AI-Offer is released under the MIT license, making it free to use and modify according to the license terms.
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