Why AI Gets Things Wrong (And Can't Use Your Data)

AI models only know what was in their training data at a cutoff date, so facts can become stale.

Deployed models cannot access a company's live systems at query time, so they cannot fetch updated policies.

Fine-tuning changes model behavior but does not update its underlying knowledge.

Retrieval-Augmented Generation (RAG) solves this by retrieving current external sources before generating answers.