Comprehensive AI/ML and LLM interview questions covering fundamental concepts, algorithms, and practical applications. AI/ML Fundamentals Interview questions covering core machine learning concepts, algorithms, and best practices: Easy: Supervised/unsupervised learning, overfitting, bias-variance tradeoff, basic …

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. Key Characteristics: Large: Billions …

Hard-level LLM and Agentic AI interview questions covering multi-agent systems, production optimization, and advanced architectures. Q1: Design a multi-agent system with agent communication and coordination. Answer: How Multi-Agent Systems Work: Multiple specialized agents collaborate, communicate, and coordinate to …

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. Pattern: 1Thought: I …