What is a negative prompt?
Why D is the answer
A prompt stating what the model should avoid
Negative prompts tell the model what to leave out.
In detail
- A negative prompt states what to avoid.
- It states what to leave out.
Use case
An illustrative scenario, not a real incident.
An image team adds "no text in the picture" as a negative prompt.
See it in different ways
flowchart LR A["Zero-shot: no examples"] --> B["Single-shot: one example"] B --> C["Few-shot: several examples"] C --> D["Chain of thought: reason step by step"]
mindmap
root((Prompting))
Zero-shot
Instruction only
Few-shot
Examples
Chain of thought
Step by step
Negative prompt
What to avoidmindmap
root(("Prompt"))
n1["Positive"]
n2["What to include"]
n3["Negative"]
n4["What to avoid"]Key point: Negative prompts say what to avoid.
Why the other options are wrong
- A. A prompt that the model has refused to answer
- That is a refusal.
- B. A prompt with a low confidence score
- That is a score.
- C. A prompt sent during a service outage
- That is unrelated.

