在本教程中，我们将探讨如何使用大型语言模型来进行文本转换任务，例如语言翻译，拼写和语法检查，音调调整和格式转换。
注意：环境设置跟前面文章一致，这里不再提及。
翻译
ChatGPT使用多种语言的源代码进行训练。这使模型能够进行翻译。以下是一些如何使用此功能的示例。
prompt = f"""
Translate the following English text to Spanish: \
```Hi, I would like to order a blender```
"""
response = get_completion(prompt)
print(response)
执行结果：
Hola, me gustaría ordenar una licuadora.
另外三个案例：
prompt = f"""
Tell me which language this is:
```Combien coûte le lampadaire?```
"""
response = get_completion(prompt)
print(response)
执行结果：
This is French.
prompt = f"""
Translate the following text to French and Spanish
and English pirate: \
```I want to order a basketball```
"""
response = get_completion(prompt)
print(response)
执行结果：
French pirate: ```Je veux commander un ballon de basket```
Spanish pirate: ```Quiero pedir una pelota de baloncesto```
English pirate: ```I want to order a basketball```
prompt = f"""
Translate the following text to Spanish in both the \
formal and informal forms:
'Would you like to order a pillow?'
"""
response = get_completion(prompt)
print(response)
执行结果：
Formal: ¿Le gustaría ordenar una almohada?
Informal: ¿Te gustaría ordenar una almohada?
通用翻译器
想象一下，您负责大型跨国电子商务公司。用户在其所有母语中都向您发送IT问题。您的员工来自世界各地，只会说他们的母语。您需要一个通用翻译器！
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")
音调转换
写作可以根据预期受众的不同而有所不同。ChatGPT可以产生不同的音调。
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)
格式转换
ChatGPT可以在不同格式之间进行转换。提示应该描述输入和输出格式。
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)
<table>
<caption>Restaurant Employees</caption>
<thead>
<tr>
<th>Name</th>
<th>Email</th>
</tr>
</thead>
<tbody>
<tr>
<td>Shyam</td>
<td>[email protected]</td>
</tr>
<tr>
<td>Bob</td>
<td>[email protected]</td>
</tr>
<tr>
<td>Jai</td>
<td>[email protected]</td>
</tr>
</tbody>
</table>
显示HTML：
from IPython.display import display, Markdown, Latex, HTML, JSON
display(HTML(response))
拼写检查/语法检查
以下是一些常见语法和拼写问题的例子以及LLM的回应。
为了向LLM发出信号，表示您希望它校对您的文本，您指示模型“proofread”或“proofread and correct”。
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)
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)
执行结果：
批改模式：
from redlines import Redlines
diff = Redlines(text,response)
display(Markdown(diff.output_markdown))
补充：Redlines生成一个Markdown文本，显示两个字符串/文本之间的差异。这些更改用删除线和下划线表示，看起来类似于Microsoft Word的跟踪更改。这种显示变化的方法对律师来说更为熟悉，对长系列的角色来说更为紧凑。
pip install redlines
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))
执行结果：
内容来源
- DeepLearning.AI: 《ChatGPT Prompt Engineering for Developers》