Question

A marketing agency wants a generative AI model that consistently writes product descriptions in their client's highly distinctive brand voice and tone. The desired style cannot be reliably achieved through prompt instructions alone, and the agency has a large curated dataset of thousands of approved past descriptions written in that exact style. Which approach best meets this requirement?

Accepted Answer

Fine-tune a pretrained model using the curated dataset of approved descriptions

Answer

Use retrieval-augmented generation (RAG) to pull past descriptions at query time

Answer

Rely solely on longer, more detailed prompts describing the brand voice

Answer

Train a brand-new foundation model from scratch on the agency's data