A curated list of LLM interview questions covering Fundamentals, Transformer Architecture, Tokenization & Embeddings, Pretraining, Fine-Tuning & Alignment, Prompt Engineering, Inference & Decoding, Context Windows & Hallucinations, Retrieval-Augmented Generation (RAG), Agents & Tool Calling, and Evaluation & Production — each with a clear explanation and Python code example where applicable.