wdndev/llm_interview_note resource

Health v2 · maintenance only

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14963 stars · 1465 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated Chinese-language study guide and interview question bank covering large language model fundamentals, architectures, training, and application engineering. It is published as an online book with notes on topics like tokenization, attention, decoding strategies, RAG, and MCP.

Use cases

• prepare for llm algorithm engineer interviews
• study large language model fundamentals and transformer architecture
• review common llm interview questions and answers
• learn about rag, mcp, and prompt engineering concepts
• find a structured llm knowledge roadmap in chinese

When to choose

• you are preparing for an LLM/algorithm engineer job interview and want a topic-by-topic question bank
• you want a free, structured Chinese-language reference on LLM concepts from tokenization to decoding strategies
• you prefer reading curated notes online rather than assembling resources yourself

When to avoid

• you need production code or runnable implementations rather than study notes
• you need authoritative, peer-reviewed explanations - answers are self-written and may contain errors
• you need English-language material or formal course-style instruction

Facets

learning-resource · maturity active

documentation nlp llm-training rag mcp prompt-engineering large-language-models tutorials machine-learning deep-learning python llm-interview interview-preparation study-notes chinese-language transformer llm-engineer knowledge-base mkdocs natural-language-processing ai-agents retrieval-augmented-generation web-server

Member repositories

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markdown · JSON · MCP: product_card(name="wdndev/llm_interview_note")