Question

An electronics retailer runs a customer-facing gen AI assistant. The product catalog, prices, and stock levels change weekly. Customers complain the assistant gives outdated specs and prices. Leadership wants accurate, current answers without retraining the model every week. Which approach best fits this need?

Accepted Answer

Use Retrieval Augmented Generation (RAG) to ground responses in the live product database at query time

Answer

Fine-tune the foundation model on the current catalog each time prices or stock change

Answer

Increase the model's temperature so it produces more varied and up-to-date answers

Answer

Add more few-shot examples of correct product answers to every prompt