场景介绍
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：
- 信息总结：顾名思义，就是对一堆信息进行总结。
- 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。
- 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：
- 使用技巧 2，增加总结示例，让 AI 总结符合你需求的内容
- 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
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）
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 课程中，还提到，你可以使用其他特殊符号来分割文本和 prompt，比如<>，<tag></tag> 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。
未经允许不得转载：表盘吧 » ChatGPT场景7：化繁为简——信息总结
