Question

A pharmaceutical company wants a generative AI assistant that reliably uses highly specialized medical and regulatory terminology in the exact style and structured format required by their internal clinical documentation standards. They have thousands of examples of correctly written past documents. Prompt engineering with examples has produced inconsistent formatting and occasional terminology errors. Which approach is most likely to deliver the required consistent, domain-specific output?

Accepted Answer

Fine-tune a pretrained model using the company's large set of correctly formatted example documents

Answer

Implement retrieval-augmented generation (RAG) to pull terminology from an external glossary at query time

Answer

Increase the maximum token limit on the pretrained model to allow longer responses

Answer

Add more few-shot examples to every prompt until the formatting stabilizes