现在是信息爆炸时代，打开手机，各种文章扑面而来。我们的精力是有限的。如果有人帮忙把文章总结好给我们，这不就节省了很多时间嘛！我们也就可以的文章了。
恰好大语言模型在总结文章方面非常有天赋。
下面来看看示例。
prod_review = """
Got this panda plush toy for my daughter's birthday, \
who loves it and takes it everywhere. It's soft and \
super cute, and its face has a friendly look. It's \
a bit small for what I paid 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 her.
"""
prompt = f"""
Your task is to generate a short summary of a product \
review from an ecommerce site.
Summarize the review below, delimited by triple
backticks, in at most 30 words.
Review: ```{prod_review}```
"""
response = get_completion(prompt)
print(response)
回答：
Soft and cute panda plush toy loved by daughter, but a bit small for the price. Arrived early.
如果总结的时候，我们更关注快递方面的信息呢？
prompt = f"""
Your task is to generate a short summary of a product \
review from an ecommerce site to give feedback to the \
Shipping deparmtment.
Summarize the review below, delimited by triple
backticks, in at most 30 words, and focusing on any aspects \
that mention shipping and delivery of the product.
Review: ```{prod_review}```
"""
response = get_completion(prompt)
print(response)
回答：
The panda plush toy arrived a day earlier than expected, but the customer felt it was a bit small for the price paid.
很明显，这里特地提到了The panda plush toy比期望的时间早一天到达。
如果总结的时候，我们更关注价格方面的信息呢？
prompt = f"""
Your task is to generate a short summary of a product \
review from an ecommerce site to give feedback to the \
pricing deparmtment, responsible for determining the \
price of the product.
Summarize the review below, delimited by triple
backticks, in at most 30 words, and focusing on any aspects \
that are relevant to the price and perceived value.
Review: ```{prod_review}```
"""
response = get_completion(prompt)
print(response)
回答：
The panda plush toy is soft, cute, and loved by the recipient, but the price may be too high for its size.
总结文字中提到了The panda plush toy不值这个价，因为尺寸对不起这么高的价格。
另外我们也可以从文本中抽取需要的关键信息。
prompt = f"""
Your task is to extract relevant information from \
a product review from an ecommerce site to give \
feedback to the Shipping department.
From the review below, delimited by triple quotes \
extract the information relevant to shipping and \
delivery. Limit to 30 words.
Review: ```{prod_review}```
"""
response = get_completion(prompt)
print(response)
回答：
The product arrived a day earlier than expected.
这里提取了物流方面的信息。
总结一下，大语言模型可以做：
- 文章总结，并且可以设置总结的侧重点
- 提取文章中的关键信息
参考：
https://learn.deeplearning.ai/chatgpt-prompt-eng/lesson/4/summarizing
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