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LLM interviews
How to prepare without wasting your effort

How should a résumé be written to pass screening? What do interviewers actually ask? Which directions really land offers? This pack breaks all of it down — free to grab, go use it.

Answers to the questions you care about

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So many directions — which one fits me?

The pack includes a '2025 analysis of what each major LLM employer tests' — roles, required tech stacks, and review priorities all laid out, so you don't have to research company by company.

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How do you write a résumé that doesn't get auto-rejected?

A 20-item 'résumé self-check list' from an interviewer's viewpoint — avoiding pitfalls matters more than piling on experience. Most résumés fail not from under-writing but from writing in the wrong direction.

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Want to know if we're legit before landing your offer?

Just DM 「兔老板工作室」 on Xiaohongshu with your background and goals — the teacher himself replies, no customer service, no waiting.

The full free pack · one DM away

🎁 Totally free · one DM away
⚡ Just send a DM · Delivered in ~30 seconds on average
One DM away · completely free

DM 「兔老板工作室」 on Xiaohongshu and reply 「资料」 — everything below is sent to you directly. No limits, no tricks, no purchase required, no WeChat-account follow needed.

  • 📄 Selected real interview questions from big tech(RAG · Agent · fine-tuning · inference optimization, with detailed explanations)
  • 📋 Résumé self-check list(an interviewer's viewpoint: 20 pitfalls to avoid)
  • 🎧 Full-chapter previews of RAG + Agent + fine-tuning(~3 hours — get a direct feel for course quality)
  • 🗺️ HD wallpaper of the LLM knowledge map(mobile / desktop versions)
  • 📊 2025 LLM-interview trend analysis(what each employer tests · with per-module review priorities)
  • 🔖 LLM tech quick-reference cards(quick-memory sheet for LoRA / FlashAttention / KV Cache / Attention formulas)
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兔老板工作室
小红书
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Who is the creator?

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互老师

Senior algorithm engineer
  • led the Memory LLM project (distilled DeepSeek-V3 into Qwen3-8B — 1.22% of the parameters, reaching 97.6% of the teacher's quality)
  • core developer of the Galileo graph-computing platform (in production across 5 business lines)
  • Big-tech algorithm role · an interviewer who sits on real hiring loops
  • co-author of 'Graph Deep Learning: From Theory to Practice' (Tsinghua University Press)
  • translated 'Rapidly Deploying LLMs' (lead translator, Tsinghua University Press)
  • 6 patents in algorithm directions
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Have questions? Just ask — no need to be polite

DM 「兔老板工作室」 on Xiaohongshu, explain your situation — the teacher himself replies:

  • I have an xxx background and want to target xxx — is that viable?
  • Is my résumé written the right way?
  • What will they ask about this project in interviews?
  • Which course to pick, how to enroll, whether the content fits — ask anything
👉 Chat with us on Xiaohongshu

FAQ

Is the material really completely free?

Completely free. DM 「兔老板工作室」 on Xiaohongshu and reply 「资料」 — we send it straight to you. No limits, no tricks, no WeChat-account follow, no phone number required.

How good is the preview content?

Preview chapters are identical to the full course — complete and unedited. Decide whether to enroll after you're satisfied; no hard selling.

My fundamentals are weak — can I keep up?

The course starts from basic concepts but moves faster and deeper than introductory content — the focus is making you able to 'explain the why.' The Full-Stack Program bundles 2 résumé-optimization 1-on-1s and a mock interview, where the teacher tells you directly what still needs work.

What if I still have questions?

Just DM 「兔老板工作室」 on Xiaohongshu with your background and goals (education / current direction / target role). The teacher himself replies — no customer service — usually within 24 hours.

How do I find the Xiaohongshu account?

Open the Xiaohongshu app and search 「兔老板工作室」, or tap any 'Xiaohongshu consulting' button on the page to jump there. Account ID: 62ef4376000000001f017147.

Still deciding? Grab the free materials and feel it out

Selected real interview questions from big tech
DM 「兔老板工作室」 on Xiaohongshu and reply 「资料」 — sent to you directly

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