# 场景7：化繁为简——信息总结
### 场景介绍[](https://learningprompt.wiki/docs/chatGPT/tutorial-basics/%E5%9F%BA%E6%9C%AC%E4%BD%BF%E7%94%A8%E5%9C%BA%E6%99%AF%20&%20%E4%BD%BF%E7%94%A8%E6%8A%80%E5%B7%A7/%E5%9C%BA%E6%99%AF7%EF%BC%9A%E5%8C%96%E7%B9%81%E4%B8%BA%E7%AE%80%E2%80%94%E2%80%94%E4%BF%A1%E6%81%AF%E6%80%BB%E7%BB%93#%E5%9C%BA%E6%99%AF%E4%BB%8B%E7%BB%8D)
内容生成大场景下的第二个场景是化繁为简，这个场景其实很好理解，就是将复杂的内容，转为简单的内容，一般常遇到的场景有：
1. 信息总结：顾名思义，就是对一堆信息进行总结。
2. 信息解释：这个跟改写内容有点像，但这个更偏向于解释与总结。下一章会给大家介绍更多的例子。
3. 信息提取：提取信息里的某一段内容，比如从一大段文字中，找到关键内容，并分类。
本章会讲一下信息总结。信息总结还是比较简单的，基本上在 prompt 里加入总结 summarize 就可以了。但如果你想要一些特别的效果，不妨组合使用之前介绍的技巧，比如：
1. 使用技巧 2，增加总结示例，让 AI 总结符合你需求的内容
2. 使用技巧 4，增加 role，让 AI 总结的内容具有一定的风格
不过在这个场景，还有个技巧需要各位注意。
### **技巧 5：使用特殊符号将指令和需要处理的文本分开**[](https://learningprompt.wiki/docs/chatGPT/tutorial-basics/%E5%9F%BA%E6%9C%AC%E4%BD%BF%E7%94%A8%E5%9C%BA%E6%99%AF%20&%20%E4%BD%BF%E7%94%A8%E6%8A%80%E5%B7%A7/%E5%9C%BA%E6%99%AF7%EF%BC%9A%E5%8C%96%E7%B9%81%E4%B8%BA%E7%AE%80%E2%80%94%E2%80%94%E4%BF%A1%E6%81%AF%E6%80%BB%E7%BB%93#%E6%8A%80%E5%B7%A7-5%E4%BD%BF%E7%94%A8%E7%89%B9%E6%AE%8A%E7%AC%A6%E5%8F%B7%E5%B0%86%E6%8C%87%E4%BB%A4%E5%92%8C%E9%9C%80%E8%A6%81%E5%A4%84%E7%90%86%E7%9A%84%E6%96%87%E6%9C%AC%E5%88%86%E5%BC%80)
不管是信息总结，还是信息提取，你一定会输入大段文字，甚至多段文字，此时有个小技巧。
可以用“”“将指令和文本分开。根据我的测试，如果你的文本有多段，增加”“”会提升 AI 反馈的准确性（这个技巧来自于 OpenAI 的 API [最佳实践文档](https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api)）
信息
感谢 CraneHuang6 的提醒，这里还能用 ### 符号区隔，不过我一般会用“”“ ，因为我有的时候会用 # 作为格式示例，太多 # 的话 prompt 会看起来比较晕 😂
像我们之前写的 prompt 就属于 Less effective prompt。为什么呢？据我的测试，主要还是 AI 不知道什么是指令，什么是待处理的内容，用符号分隔开来会更利于 AI 区分。
```
Please summarize the following sentences to make them easier to understand.
OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation OpenAI Limited Partnership (OpenAI LP). OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. OpenAI systems run on the fifth most powerful supercomputer in the world.[5][6][7] The organization was founded in San Francisco in 2015 by Sam Altman, Reid Hoffman, Jessica Livingston, Elon Musk, Ilya Sutskever, Peter Thiel and others,[8][1][9] who collectively pledged US$1 billion. Musk resigned from the board in 2018 but remained a donor. Microsoft provided OpenAI LP with a $1 billion investment in 2019 and a second multi-year investment in January 2023, reported to be $10 billion.[10]
```
Better prompt:
```
Please summarize the following sentences to make them easier to understand.
Text: """
OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation OpenAI Limited Partnership (OpenAI LP). OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. OpenAI systems run on the fifth most powerful supercomputer in the world.[5][6][7] The organization was founded in San Francisco in 2015 by Sam Altman, Reid Hoffman, Jessica Livingston, Elon Musk, Ilya Sutskever, Peter Thiel and others,[8][1][9] who collectively pledged US$1 billion. Musk resigned from the board in 2018 but remained a donor. Microsoft provided OpenAI LP with a $1 billion investment in 2019 and a second multi-year investment in January 2023, reported to be $10 billion.[10]
"""
```
另外，在吴恩达的 ChatGPT Prompt Engineering [课程](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/)中，还提到，你可以使用其他特殊符号来分割文本和 prompt，比如`<>`，`` 等，课程中的案例是这样的（注意这个是 python 代码，需要关注的是 prompt 里的 text）：
```
text = f"""
You should express what you want a model to do by \
providing instructions that are as clear and \
specific as you can possibly make them. \
This will guide the model towards the desired output, \
and reduce the chances of receiving irrelevant \
or incorrect responses. Don't confuse writing a \
clear prompt with writing a short prompt. \
In many cases, longer prompts provide more clarity \
and context for the model, which can lead to \
more detailed and relevant outputs.
"""
prompt = f"""
Summarize the text delimited by triple backticks \
into a single sentence.
`{text}`
"""
```
如果你是在开发一款允许用户输入内容，并对内容进行总结的 AI 产品，那你就可以使用到这个技巧。