Question

A retail company deploys a generative AI assistant to draft product descriptions. Marketers complain that outputs vary wildly in tone, length, and format between runs, even for similar products. The team wants to improve consistency without retraining or building new data pipelines. As the AI transformation leader, which technique should you recommend they apply first?

Accepted Answer

Apply prompt engineering by providing clear instructions, tone guidelines, and few-shot examples in the prompt

Answer

Fine-tune a custom model on thousands of past product descriptions before any launch

Answer

Implement a retrieval-augmented generation pipeline connected to the product catalog database

Answer

Increase the model's temperature setting to encourage more creative and varied responses