LLM/GenAI Concepts

Summary

A fast-growing interview category — expect questions on tokenization, context windows, RAG vs. fine-tuning, hallucination, and prompt engineering trade-offs.

• 1Be ready to explain RAG vs. fine-tuning trade-offs clearly and with a concrete example.
• 2Practice explaining how a Transformer generates text token by token.
• 3Stay current — this area changes fast, so review recent developments before interviewing.