Learn Prompt-ChatGPT 精选案例:内容总结

ChatGPT 可以通过分析内容并生成一个浓缩版本来总结文本。这对节省时间和精力很有帮助，特别是在阅读长篇文章、研究论文或报告时。

通用总结

你所要做的就是把具体的文字复制并粘贴到提示中，并要求ChatGPT对所选文本进行简化总结。这里我们参考openai官网提供的例子Summarize for a 2nd grader来总结一下木星的维基百科

概念性总结

Ted Chiang曾经在纽约客上发表文章，称ChatGPT为互联网的有损压缩。那么我们同样可以通过提示来生成总结，并不需要粘贴额外的文字。

概念性总结对于我们一开始想要快速了解某个概念的简要总结来说非常有帮助。

大纲式总结

除了摘要这种形式外，你还可以要求 ChatGPT 为长文本写提纲。这样你可以一次性看到整篇文章的主线或框架。

以下是ChatGPT对维基百科上 ChatGPT 页面上的提纲。

这里我使用了角色扮演类的提示，让 ChatGPT 扮演一个文档大纲生成器，并且定义了两个关键词组。当我还没输入“生成大纲”时，ChatGPT 会在读取完成后输出“读取完毕”，而不是直接生成大纲。

outline

read

最终生成的大纲如下：

Sure, based on the text you provided, here is the outline:I. Introduction- Overview of ChatGPT
- Built on GPT-3.5 and GPT-4 models
- Fine-tuned using supervised and reinforcement learning techniquesII. Fine-tuning Process- Reinforcement learning from human feedback (RLHF)
- Supervised learning and human trainers
- Proximal Policy Optimization (PPO)III. Infrastructure and Data Collection- Microsoft Azure supercomputing infrastructure
- User data collection and feedbackIV. Features- Versatility in various domains
- Ability to remember previous prompts in a conversation
- Attempts to reduce harmful and deceitful responses
- Filtering of potentially offensive queries
- Plugin support for ChatGPTV. Conclusion- Speculations on potential uses of ChatGPT
- Continued improvements and upgrades by OpenAI

维基百科式总结

除了大纲和概要之外，还有一种适合我们日常阅读习惯的格式，那就是维基百科。这里我同样是使用角色扮演，生成 AI（Artificial intelligence）的总结。

I want you to act as a Wikipedia page. I will give you the name of a topic, and you will provide a summary of that topic in the format of a Wikipedia page. Your summary should be informative and factual, covering the most important aspects of the topic. Start your summary with an introductory paragraph that gives an overview of the topic. My first topic is "Artificial intelligence"

下面是部份的生成结果。

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that would typically require human intelligence, such as learning, problem-solving, decision making, and natural language processing. AI involves the creation of algorithms and computer programs that can process large amounts of data and make predictions or decisions based on that data.The history of AI dates back to the 1950s, when researchers began developing computer programs that could play chess and solve mathematical problems. Over the years, AI has advanced significantly, and today, it is used in a wide range of industries, including healthcare, finance, and transportation....

就个人而言，我会更喜欢维基百科这种长度适中的总结形式。了解不同形式的总结能帮助我们更快更好的阅读长文本和了解概念。