Easy-level LLM and Agentic AI interview questions covering fundamentals, prompting, and basic agent concepts. Q1: What is a Large Language Model (LLM)? Answer: Definition: Neural network trained on massive text data to predict next tokens, enabling text generation and understanding. graph TB A[Input Text] --> …

Medium-level LLM and Agentic AI interview questions covering agent architectures, RAG optimization, and production systems. Q1: Design and implement a ReAct (Reasoning + Acting) agent. Answer: How ReAct Works: ReAct alternates between reasoning (thinking) and acting (using tools) to solve problems. graph TB A[User …