by wanshuiyin
Bilingual (中文+EN) 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→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱
# Add to your Claude Code skills
git clone https://github.com/wanshuiyin/ARIS-in-AI-OfferGuides for using ai agents skills like ARIS-in-AI-Offer.
Last scanned: 6/12/2026
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30 days in the Featured rail · terms & refunds
Hoping to make your 秋招 (qiūzhāo, Chinese AI campus recruiting season) a little easier 🌱
📖 中文版 (Chinese version): README_CN.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 ↓.
🏆 Built on a battle-tested foundation — the ARIS main repo has ~10k GitHub stars, was HuggingFace Daily Papers #1, won AI Digital Crew Project of the Day, and ships 74+ research skills across 7+ platforms. This isn't a vaporware preview — every cheat sheet here is the production output of the same
/interview-cheatsheet+/render-htmlworkflow used in academic-research production.
A curated, bilingual (中文 + English) collection of ML / LLM / multimodal / diffusion / agent / generative-model interview cheat sheets, auto-generated by the ARIS — Auto Research in Sleep /render-html workflow.
Each cheat sheet is a long-form Chinese tutorial with: formula derivations · from-scratch PyTorch code · 25 high-frequency interview questions (L1 essentials · L2 advanced · L3 top-tier lab).
🔥 NEW · 🌐 Also in this repo — ARIS-Homepage: turn your CV + selected GitHub repos into a fact-checked academic homepage with single-file HTML output. v1.1 adds
--from-repos owner/repo,...—ghCLI snapshots stars / releases / READMEs and merges repo timelines into your homepage. 🔥 Live demo at wanshuiyin.github.io →
📖 Preview (above): one snapshot per pillar, taken from the Diffusion Foundations cheat sheet — ① Foundations (formula derivations + intuition + TL;DR), ② Interview Q&A (25 high-frequency questions stratified L1/L2/L3), ③ From-Scratch Code (runnable PyTorch, including CFG training + DDIM sampling). Every cheat sheet in this collection follows the same three-pillar structure.
🌐 ARIS-Homepage preview (above): same
/render-htmlworkflow turning a CV into a fact-checked academic homepage. Live demo at wanshuiyin.github.io. Details + pipeline diagram in the ARIS-Homepage section ↓.
📝 Long-form blog preview (above): a standalone hand-authored long-form technical survey. A Survey on Continuous DLM (2026 H1, 6 papers) — Chinese-language survey by Ruofeng Yang (SJTU), written end-to-end via cross-model discussion (Claude Opus 4.7 + Codex GPT-5.5 xhigh + Gemini auto-gemini-3). 📖 Read full blog ↗.
Phone on the subway, iPad at a café, laptop in the library — same HTML link opens equally well:
tools/render_html.py now strips a leading UTF-8 BOM before frontmatter detection (6cc4876).continuous_dlm_representation_perspective.html · diffusion_representation_manifold.html. See the Blog Index ↓.docs/blogs/cosmos3_mot_guide.html — a hand-authored guide (ELF blog format), not part of the audited /render-html pipeline. All figures and numbers are from the NVIDIA Cosmos 3 report (github.com/nvidia/cosmos); © the original authors, used here as an attributed popsci guide.docs/ artifact now carries a traceable cross-model review, and a new CI gate (tools/verify_reviews.py --mode strict --reproduce, wired in review-audit.yml) blocks any PR whose HTML isn't a reviewed view that byte-reproduces from its source — so no un-reviewed or hand-edited content can land. Also merged today: a Focus-dim reading mode for --blog-mode pages (dim non-current sections · floating 🎯 toggle · ↑/↓ section nav), reflowed from the dllm blog effort into the academic templa