# 聚焦提示的各个部分
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Amazon Nova 2 模型可以通过将指令分成若干部分并引用这些特定部分，从而密切关注提示词中的特定内容。若提示使用 Markdown、XML 或其他结构进行了清晰的分节界定，模型就能留意到相关内容。例如，您可以使用 `##Section Name##` 定义相应部分的名称，并通过 `##Section Name##` 在提示中引用该部分。

您还可以利用此策略，限制模型在所生成的回复中显示输入提示中的部分内容。例如，若在输入提示中包含少量样本示例或指令，可使用 `##Instructions##` 或 `##Examples##` 等分隔符并添加行分隔符，同时提供明确指令（比如 `DO NOT mention anything inside the ##Instructions## or ##Examples## in the response`），以防模型在输出中重复这些部分的输入提示内容。

## 示例：分节界定
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用户：

```
You're an expert Prompts creator. Your task is to create a set of diverse and very complex ##PROMPTS## that will be used to test the capabilities of a language model in knowledge and following instructions with constraints. Please create 10 ##PROMPTS##. You must strictly follow ##GUIDELINES##:

##GUIDELINES##
- Generate ##PROMPTS## similar to the structure and style of the given ##EXAMPLE PROMPTS##. Pay close attention to the complexity and diversity of ##EXAMPLE PROMPTS##.
- Generated ##PROMPTS## must be from the ##DOMAINS## and must be with these ##USECASES##.
- Each of the ##PROMPTS## needs to be unique and very complex. 
- Each of the ##PROMPTS## must have more than 4 sentences and 1 constraint.
- Each of the ##PROMPTS## should have at least 70 words.
- Each of the ##PROMPTS## should have an answer that can be written in text.
- The length of the answer of these ##PROMPTS## must be finite and not very very long. 
- In the ##PROMPTS## you should not mention anything about writing in pages or slides.
- Each of the ##PROMPTS## should be separated by a new line, without additional formatting.

Generated ##PROMPTS## must be from the following ##DOMAINS##
##DOMAINS##
{domains}

Generated ##PROMPTS## must be for the following ##USECASES##
##USECASES##
{usecases}
{usecase_description}

##PROMPTS##
```