llmgenai/LLMInterviewQuestions resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1926 stars · 401 forks observed · 2026-08-28

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

A curated collection of 100+ large language model interview questions from top tech companies, organized into 15 categories covering RAG, prompt engineering, fine-tuning, and deployment. It serves as a study guide for engineers preparing for LLM-related job interviews.

Use cases

• prepare for llm engineer interview questions
• study rag and prompt engineering interview topics
• find machine learning interview questions asked at google and meta
• review llm fine-tuning and deployment interview concepts
• practice generative ai interview questions
• learn llm system design interview topics

When to choose

• you are preparing for an LLM, ML, or AI engineer interview at a tech company
• you want a categorized list of real interview questions covering the LLM ecosystem
• you need a checklist of topics like RAG, RLHF, and vector databases to study

When to avoid

• you need detailed answers or tutorials - the repo mostly lists questions and upsells a paid course
• you want runnable code, libraries, or tools rather than study material
• you need a formally licensed or maintained software project

Facets

learning-resource · maturity active

documentation developer-tools large-language-models tutorials artificial-intelligence interview-preparation llm rag prompt-engineering study-guide web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="llmgenai/LLMInterviewQuestions")