Deeplearing.AI 课程笔记(DLAI)_deeplearning.ai prompt

课程地址： https://learn.deeplearning.ai/chatgpt-prompt-eng
@OpenAI & @ Deeplearing.ai

Lesson 2：准则

Prompting 的两个基本原则：

1. write clear and specific instructions，第一原则是写清楚提示并给出具体说明
2. to give the model time to think，第二个原则是给予模型思考时间

需要注意的是：

• clear 并不等于 short，也就是说清楚的提示内容并不一定是简短的

Principal 1 - write clear and specific instructions

技巧1: 使用界定符，以避免注入

eg：使用 ``` 来包裹用户的提示内容，以避免提示注入 prompt injections

• Triple quotes: """
• Triple backticks: ```
• Triple dashes: ---
• Angle brackets: <>
• XML Tags: <tag> </tag>

示例内容

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}```
"""
response = get_completion(prompt)
print(response)


OutPut：Clear and specific instructions should be provided to guide a model towards the desired output, and longer prompts can provide more clarity and context for the model, leading to more detailed and relevant outputs.
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技巧2: 指定输出的内容格式

指定输出的内容格式为 HTML 或 JSON

prompt = f"""
Generate a list of three made-up book titles along \ 
with their authors and genres. 
Provide them in JSON format with the following keys: 
book_id, title, author, genre.
"""
response = get_completion(prompt)
print(response)
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