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Interview Preparation
LLMs, RAG, evaluation, AI applications, agents and production AI systems.
Practice role-specific questions with concise answers and key points.
Answer: RAG retrieves relevant external knowledge and supplies it to a language model as context before generation. This can improve grounding and allow answers to use changing or private information.
Answer: Define representative tasks and success criteria, create a test set, measure correctness and failure modes, evaluate retrieval and generation separately where useful, and continuously test regressions.
Answer: Separate planning, tool execution, state and policy controls; validate tool inputs and outputs, enforce permissions, record traces, limit execution, handle failures and evaluate the complete workflow.