feat: optimize generation of conversation title (#1075)
This commit is contained in:
@@ -1,10 +1,64 @@
|
||||
CONVERSATION_TITLE_PROMPT = (
|
||||
"Human:{query}\n-----\n"
|
||||
"Help me summarize the intent of what the human said and provide a title, the title should not exceed 20 words.\n"
|
||||
"If what the human said is conducted in English, you should only return an English title.\n"
|
||||
"If what the human said is conducted in Chinese, you should only return a Chinese title.\n"
|
||||
"title:"
|
||||
)
|
||||
# Written by YORKI MINAKO🤡
|
||||
CONVERSATION_TITLE_PROMPT = """You need to decompose the user's input into "subject" and "intention" in order to accurately figure out what the user's input language actually is.
|
||||
Notice: the language type user using is abundant, can be English, Chinese, Español, Arabic, Japanese, and etc.
|
||||
MAKE SURE your output is the SAME language as the user's input!
|
||||
Your output is restricted only to: (Input language) Intention + Subject(short as possible)
|
||||
|
||||
Tip: When the user's question is directed at you (the language model), you can add an emoji to make it more fun.
|
||||
|
||||
|
||||
example 1:
|
||||
User Input: hi, yesterday i had some burgers.
|
||||
{
|
||||
"Language Type": "The user's input is pure English",
|
||||
"Your Reasoning": "The language of my output must be pure English.",
|
||||
"Your Output": "sharing yesterday's food"
|
||||
}
|
||||
|
||||
example 2:
|
||||
User Input: hello
|
||||
{
|
||||
"Language Type": "The user's input is written in pure English",
|
||||
"Your Reasoning": "The language of my output must be pure English.",
|
||||
"Your Output": "Greeting myself☺️"
|
||||
}
|
||||
|
||||
|
||||
example 3:
|
||||
User Input: why mmap file: oom
|
||||
{
|
||||
"Language Type": "The user's input is written in pure English",
|
||||
"Your Reasoning": "The language of my output must be pure English.",
|
||||
"Your Output": "Asking about the reason for mmap file: oom"
|
||||
}
|
||||
|
||||
|
||||
example 4:
|
||||
User Input: www.convinceme.yesterday-you-ate-seafood.tv讲了什么?
|
||||
{
|
||||
"Language Type": "The user's input English-Chinese mixed",
|
||||
"Your Reasoning": "The English-part is an URL, the main intention is still written in Chinese, so the language of my output must be using Chinese.",
|
||||
"Your Output": "询问网站www.convinceme.yesterday-you-ate-seafood.tv"
|
||||
}
|
||||
|
||||
example 5:
|
||||
User Input: why小红的年龄is老than小明?
|
||||
{
|
||||
"Language Type": "The user's input is English-Chinese mixed",
|
||||
"Your Reasoning": "The English parts are subjective particles, the main intention is written in Chinese, besides, Chinese occupies a greater \"actual meaning\" than English, so the language of my output must be using Chinese.",
|
||||
"Your Output": "询问小红和小明的年龄"
|
||||
}
|
||||
|
||||
example 6:
|
||||
User Input: yo, 你今天咋样?
|
||||
{
|
||||
"Language Type": "The user's input is English-Chinese mixed",
|
||||
"Your Reasoning": "The English-part is a subjective particle, the main intention is written in Chinese, so the language of my output must be using Chinese.",
|
||||
"Your Output": "查询今日我的状态☺️"
|
||||
}
|
||||
|
||||
User Input:
|
||||
"""
|
||||
|
||||
CONVERSATION_SUMMARY_PROMPT = (
|
||||
"Please generate a short summary of the following conversation.\n"
|
||||
|
Reference in New Issue
Block a user