This repository collects and organizes interview questions and conceptual knowledge related to large language models. It serves as a study resource for candidates preparing for LLM algorithm and application engineer positions. The repo also references several companion projects including a from-scratch LLM implementation, a simple RAG system, and an MCP server/client setup, all aimed at hands-on LLM learning.