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。
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