Question

A financial services company runs a gen AI assistant that answers employee questions about interest rates, fee schedules, and account policies. These figures change weekly, and any incorrect number could mislead a customer. The team wants the assistant's answers to always reflect the current published figures without retraining the model each week. Which approach best meets this requirement?

Accepted Answer

Ground the model with Retrieval Augmented Generation (RAG) so it pulls the current figures from an authoritative data source at query time

Answer

Fine-tune the model each week on the latest rate and fee documents so the values are embedded in the model's weights

Answer

Raise the model's temperature setting so it produces more varied and up-to-date responses

Answer

Add several few-shot examples of last week's rates in the prompt to teach the model the correct format