Topic overview
Learn tokenization, prompts, context windows, embeddings, decoding, fine-tuning, tool use, and evaluation.
Core concepts
Temperature, grounding, hallucination, instruction following, retrieval, safety, latency, cost, and model selection.
Why it matters
LLMs are useful when paired with clear product constraints, good context, strong evaluations, and reliable workflows.
Interview relevance
Expect practical questions about prompt quality, model behavior, limitations, failure modes, and production readiness.