Fine-tuning is better suited to stable, enumerable rules; for information that changes frequently or requires real-time verification, it often needs to be combined with retrieval-augmented generation (RAG) and other methods, otherwise the model tends to memorize outdated rules or produce answers that appear compliant but are actually wrong.