一、说明

这是吴恩达《ChatGPT Prompt Engineering for Developers》的课程笔记系列。
本文是第六讲的内容：Transforming

二、安装环境

三、转换（Transforming）

在本笔记本中，我们将探讨如何将大型语言模型用于文本转换任务，如语言翻译、拼写和语法检查、语气调整和格式转换等。

1. 翻译 Translation

prompt = f"""
Translate the following English text to Chinese: \ 
```Hi, I would like to order a blender```
"""
response = get_completion(prompt)
print(response)

prompt：把 “Hi, I would like to order a blender” 翻译成中文
运行结果：
在这里插入图片描述

prompt = f"""
Tell me which language this is: 
```Combien coûte le lampadaire?```
"""
response = get_completion(prompt)
print(response)

prompt：告诉我句子 “Combien coûte le lampadaire? ” 是什么语言
运行结果：
在这里插入图片描述

user_messages = [
  "La performance du système est plus lente que d'habitude.",  # System performance is slower than normal         
  "Mi monitor tiene píxeles que no se iluminan.",              # My monitor has pixels that are not lighting
  "Il mio mouse non funziona",                                 # My mouse is not working
  "Mój klawisz Ctrl jest zepsuty",                             # My keyboard has a broken control key
  "我的屏幕在闪烁"                                               # My screen is flashing
] 

for issue in user_messages:
    prompt = f"Tell me what language this is: ```{
      
      issue}```"
    lang = get_completion(prompt)
    print(f"Original message ({
      
      lang}): {
      
      issue}")

    prompt = f"""
    Translate the following  text to English \
    and Korean: ```{
      
      issue}```
    """
    response = get_completion(prompt)
    print(response, "\n")

prompt：告诉我这句话是什么语言，并把它翻译成英文和韩文
运行结果：
在这里插入图片描述

2. 语气转换 Tone Transformation

指定正式还是非正式的语气，指定语言使用的场合比如商务场合的邮件

prompt = f"""
Translate the following from slang to a business letter: 
'Dude, This is Joe, check out this spec on this standing lamp.'
"""
response = get_completion(prompt)
print(response)

prompt：将以下俚语翻译成商务信函
在这里插入图片描述

3. 格式转换 Format Conversion

data_json = {
    
     "resturant employees" :[ 
    {
    
    "name":"Shyam", "email":"[email protected]"},
    {
    
    "name":"Bob", "email":"[email protected]"},
    {
    
    "name":"Jai", "email":"[email protected]"}
]}

prompt = f"""
Translate the following python dictionary from JSON to an HTML \
table with column headers and title: {
      
      data_json}
"""
response = get_completion(prompt)
print(response)

prompt：把JSON转换为HTML表格
运行结果：
在这里插入图片描述
结果展示：

from IPython.display import display, Markdown, Latex, HTML, JSON
display(HTML(response))

在这里插入图片描述

4. 拼写或语法检查 Spellcheck/Grammar check

text = [ 
  "The girl with the black and white puppies have a ball.",  # The girl has a ball.
  "Yolanda has her notebook.", # ok
  "Its going to be a long day. Does the car need it’s oil changed?",  # Homonyms
  "Their goes my freedom. There going to bring they’re suitcases.",  # Homonyms
  "Your going to need you’re notebook.",  # Homonyms
  "That medicine effects my ability to sleep. Have you heard of the butterfly affect?", # Homonyms
  "This phrase is to cherck chatGPT for speling abilitty"  # spelling
]
for t in text:
    prompt = f"""Proofread and correct the following text
    and rewrite the corrected version. If you don't find
    and errors, just say "No errors found". Don't use 
    any punctuation around the text:
    ```{
      
      t}```"""
    response = get_completion(prompt)
    print(response)

prompt：校对并改正下面的课文，改写改正后的版本，如果找不到错误，只需说"No errors found"。不要在正文周围使用任何标点符号。
运行结果：
在这里插入图片描述

text = f"""
Got this for my daughter for her birthday cuz she keeps taking \
mine from my room.  Yes, adults also like pandas too.  She takes \
it everywhere with her, and it's super soft and cute.  One of the \
ears is a bit lower than the other, and I don't think that was \
designed to be asymmetrical. It's a bit small for what I paid for it \
though. I think there might be other options that are bigger for \
the same price.  It arrived a day earlier than expected, so I got \
to play with it myself before I gave it to my daughter.
"""
prompt = f"proofread and correct this review: ```{
      
      text}```"
response = get_completion(prompt)
print(response)

prompt：校对并更正这篇评论
运行结果：
在这里插入图片描述
在原文上标注修改的部分

from redlines import Redlines

diff = Redlines(text,response)
display(Markdown(diff.output_markdown))

在这里插入图片描述

进一步改写：

prompt = f"""
proofread and correct this review. Make it more compelling. 
Ensure it follows APA style guide and targets an advanced reader. 
Output in markdown format.
Text: ```{
      
      text}```
"""
response = get_completion(prompt)
display(Markdown(response))

prompt：校对并更正这篇评论。让它更有说服力。确保它遵循APA风格指南，并针对高级读者。以markdown格式输出。
运行结果：
在这里插入图片描述

https://blog.csdn.net/Jay_Xio/article/details/130459783

ChatGPT提示词工程（五）：Transforming转换

目录