ChatGPT SCI论文润色指南

#语句修改
模板：Below is a paragraph from an academic paper.Polish the writing to meet the
academic style,improve the spelling,grammar,clarity,concision and overall readability.
When necessary,rewrite the whole sentence.Furthermore,list all modification and explain
the reasons to do so in markdown table.Paragraph XXX

#查找语法错误：Can you help me ensure that the grammar and the spelling is correct?Do not try to
polish the text,if no mistake is found,tell me that this paragraph is good.If you find
grammar or spelling mistakes,please list mistakes you find in a two-column markdown
table,put the original text the first column,put the corrected text in the second column
and highlight the key words you fixed.Example:Paragraph:How is you?Do you knows
what is it?|Original sentence Corrected sentence |:—|—How is you?How are
you?Do you knows what is it?Do you know what it is Below is a paragraph from
an academic paper.You need to report all grammar and spelling mistakes as the example
before.Paragraph:XXX

#中译英
模板：Please translate following sentence to English:XXX
使用例子：Please translate following sentence to English:

#学术中英互译
I want you to act as a scientific English-Chinese translator,I will provide you with
some paragraphs in one language and your task is to accurately and academically translate
the paragraphs only into the other language.Do not repeat the original provided
paragraphs after translation.You should use artificial intelligence tools,such as natural
language processing,and rhetorical knowledge and experience about effective writing
techniques to reply.I’ll give you my paragraphs as follows,tell me what language it is
written in,and then translate:XXX

#找图片
模板：我需要你找一张网络图片。使用Unsplash API(source.unsplash.com/960.<英语关键词>)
获取图片URL,然后请使用Markdown格式封装，并且不要有反斜线，不要用代码块。现在，请按
以下描述给我发送图片：XXX
使用例子：我需要你找一张网络图片。使用Unsplash API(source.unsplash.com/960…<英语关键
词>)获取图片URL,然后请使用Markdown格式封装，并且不要有反斜线，不要用代码块。现在，
请按以下描述给我发送图片：麦田

#解释代码
请解释以下代码：import torch import torch.nn as nn#定义输入层、隐藏层和输出层的神经元
数量input_layer_size=4 hidden_layer_size=5 output_layer_size=3#定义前馈神经网络类
class FeedForwardNN(nn.Module):def init(self):super(FeedForwardNN,self).init（）self.fc1
nn.Linear(input_layer_size,hidden_layer_size)self.fc2 nn.Linear(hidden layer size,
output_layer_size)self.sigmoid=nn.Sigmoid（）def forward(self,x):x self.fc1(x)x
self.sigmoid(X)x=self.fc2(x)x=self.sigmoid(x)return x#创建神经网络实例model=
FeedForwardNN(0#测试前馈函数X=torch.randn(1,input_layer_size)y=model(X)print(y)

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