A company wants to generate personalized product descriptions for its e-commerce site using Azure OpenAI. They need to ensure the model's output adheres to brand guidelines and does not generate prohibited content. Which approach should they use?
Trap 1: Use prompt engineering with negative prompts and ignore content…
Prompt engineering alone is insufficient for content safety.
Trap 2: Provide few-shot examples in the user message and rely on the…
Few-shot examples don't guarantee content safety.
Trap 3: Fine-tune the model with brand guidelines and disable content…
Fine-tuning doesn't enforce runtime content filtering.
- A
Use a system message with brand guidelines and apply content filtering.
System messages set behavior, content filtering blocks prohibited content.
- B
Use prompt engineering with negative prompts and ignore content filtering.
Why wrong: Prompt engineering alone is insufficient for content safety.
- C
Provide few-shot examples in the user message and rely on the model's training.
Why wrong: Few-shot examples don't guarantee content safety.
- D
Fine-tune the model with brand guidelines and disable content filtering for performance.
Why wrong: Fine-tuning doesn't enforce runtime content filtering.