aceliuchanghong/FAQ_Of_LLM_Interview resource

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2009 stars · 135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated FAQ-style collection of large language model algorithm interview questions with answers, covering math foundations, Transformer architectures, RAG, reinforcement learning, and agent systems. It is a Chinese-language study resource maintained as Markdown notes and Jupyter notebooks.

Use cases

• prepare for LLM algorithm engineer interviews
• review transformer and attention mechanism concepts
• study RAG and vector database interview questions
• learn reinforcement learning basics like PPO and GRPO for interviews
• brush up on math foundations for machine learning interviews
• find common LLM interview questions with answers

When to choose

• you are preparing for a large model algorithm role interview
• you want a concise question-and-answer review of LLM concepts
• you prefer curated study notes over full courses

When to avoid

• you need hands-on production code or a runnable framework
• you need English-language interview material
• you want a structured curriculum with exercises and grading

Facets

learning-resource · maturity active

documentation developer-tools large-language-models machine-learning tutorials education python llm-interview interview-preparation faq study-notes jupyter-notebook chinese-language

Member repositories

For agents

markdown · JSON · MCP: product_card(name="aceliuchanghong/FAQ_Of_LLM_Interview")