哈嘍！伙伴們，我是小智，你們的AI向?qū)Аg迎來到每日的AI學(xué)習(xí)時間。今天，我們將一起深入AI的奇妙世界，探索“面向開發(fā)者的LLM入門課程-對話儲存英文版提示”，并學(xué)會本篇文章中所講的全部知識點。還是那句話“不必遠征未知，只需喚醒你的潛能！”跟著小智的步伐，我們終將學(xué)有所成，學(xué)以致用，并發(fā)現(xiàn)自身的更多可能性。話不多說，現(xiàn)在就讓我們開始這場激發(fā)潛能的AI學(xué)習(xí)之旅吧。

面向開發(fā)者的LLM入門課程-對話儲存英文版提示：

英文版提示

1.對話緩存儲存

from langchain.chains import ConversationChain
from langchain.chat_models import ChatOpenAI
from langchain.memory import ConversationBufferMemory
llm = ChatOpenAI(temperature=0.0)
memory = ConversationBufferMemory()
conversation = ConversationChain(llm=llm, memory = memory, verbose=True )
print(“第一輪對話：”)
conversation.predict(input=”Hi, my name is Andrew”)
print(“第二輪對話：”)
conversation.predict(input=”What is 1+1?”)
print(“第三輪對話：”)
conversation.predict(input=”What is my name?”)

第一輪對話：
> Entering new chain…
Prompt after formatting:
The following is a friendly conversation between a human and an AI. The AI is
talkative and provides lots of specific details from its context. If the AI does
not know the answer to a question, it truthfully says it does not know.
Current conversation:
Human: Hi, my name is Andrew
AI:
> Finished chain.
第二輪對話：
> Entering new chain…
Prompt after formatting:
The following is a friendly conversation between a human and an AI. The AI is
talkative and provides lots of specific details from its context. If the AI does
not know the answer to a question, it truthfully says it does not know.
Current conversation:
Human: Hi, my name is Andrew
AI: Hello Andrew! It’s nice to meet you. How can I assist you today?
Human: What is 1+1?
AI:
> Finished chain.
第三輪對話：
> Entering new chain…
Prompt after formatting:
The following is a friendly conversation between a human and an AI. The AI is
talkative and provides lots of specific details from its context. If the AI does
not know the answer to a question, it truthfully says it does not know.
Current conversation:
Human: Hi, my name is Andrew
AI: Hello Andrew! It’s nice to meet you. How can I assist you today?
Human: What is 1+1?
AI: 1+1 is equal to 2.
Human: What is my name?
AI:
> Finished chain.

‘Your name is Andrew.’

print(“查看儲存緩存方式一：”)
print(memory.buffer)
print(“查看儲存緩存方式二：”)
print(memory.load_memory_variables({}))
print(“向緩存區(qū)添加指定對話的輸入輸出, 并查看”)
memory = ConversationBufferMemory() # 新建一個空的對話緩存記憶
memory.save_context({“input”: “Hi”}, {“output”: “What’s up”}) # 向緩存區(qū)添加指定對
話的輸入輸出
print(memory.buffer) # 查看緩存區(qū)結(jié)果
print(memory.load_memory_variables({}))# 再次加載記憶變量
print(“繼續(xù)向向緩存區(qū)添加指定對話的輸入輸出, 并查看”)
memory.save_context({“input”: “Not much, just hanging”}, {“output”: “Cool”})
print(memory.buffer) # 查看緩存區(qū)結(jié)果
print(memory.load_memory_variables({}))# 再次加載記憶變量

查看儲存緩存方式一：
Human: Hi, my name is Andrew
AI: Hello Andrew! It’s nice to meet you. How can I assist you today?
Human: What is 1+1?
AI: 1+1 is equal to 2.
Human: What is my name?
AI: Your name is Andrew.
查看儲存緩存方式二：
{‘history’: “Human: Hi, my name is AndrewnAI: Hello Andrew! It’s nice to meet
you. How can I assist you today?nHuman: What is 1+1?nAI: 1+1 is equal to
2.nHuman: What is my name?nAI: Your name is Andrew.”}
向緩存區(qū)添加指定對話的輸入輸出, 并查看
Human: Hi
AI: What’s up
{‘history’: “Human: HinAI: What’s up”}
繼續(xù)向向緩存區(qū)添加指定對話的輸入輸出, 并查看
Human: Hi
AI: What’s up
Human: Not much, just hanging
AI: Cool
{‘history’: “Human: HinAI: What’s upnHuman: Not much, just hangingnAI: Cool”}

2. 對話緩存窗口儲存

from langchain.memory import ConversationBufferWindowMemory
# k 為窗口參數(shù)，k=1表明只保留一個對話記憶
memory = ConversationBufferWindowMemory(k=1)
# 向memory添加兩輪對話
memory.save_context({“input”: “Hi”}, {“output”: “What’s up”})
memory.save_context({“input”: “Not much, just hanging”}, {“output”: “Cool”})
# 并查看記憶變量當(dāng)前的記錄
memory.load_memory_variables({})
llm = ChatOpenAI(temperature=0.0)
memory = ConversationBufferWindowMemory(k=1)
conversation = ConversationChain(llm=llm, memory=memory, verbose=False )
print(“第一輪對話：”)
print(conversation.predict(input=”Hi, my name is Andrew”))
print(“第二輪對話：”)
print(conversation.predict(input=”What is 1+1?”))
print(“第三輪對話：”)
print(conversation.predict(input=”What is my name?”))

第一輪對話：
Hello Andrew! It’s nice to meet you. How can I assist you today?
第二輪對話：
1+1 is equal to 2.
第三輪對話：
I’m sorry, but I don’t have access to personal information.

3. 對話字符緩存儲存

from langchain.llms import OpenAI
from langchain.memory import ConversationTokenBufferMemory
memory = ConversationTokenBufferMemory(llm=llm, max_token_limit=30)
memory.save_context({“input”: “AI is what?!”}, {“output”: “Amazing!”})
memory.save_context({“input”: “Backpropagation is what?”}, {“output”:
“Beautiful!”})
memory.save_context({“input”: “Chatbots are what?”}, {“output”: “Charming!”})
print(memory.load_memory_variables({}))

{‘history’: ‘AI: Beautiful!nHuman: Chatbots are what?nAI: Charming!’}

4. 對話摘要緩存儲存

from langchain.chains import ConversationChain
from langchain.chat_models import ChatOpenAI
from langchain.memory import ConversationSummaryBufferMemory
# 創(chuàng)建一個長字符串
schedule = “There is a meeting at 8am with your product team.
You will need your powerpoint presentation prepared.
9am-12pm have time to work on your LangChain
project which will go quickly because Langchain is such a powerful tool.
At Noon, lunch at the italian resturant with a customer who is driving
from over an hour away to meet you to understand the latest in AI.
Be sure to bring your laptop to show the latest LLM demo.”
# 使用對話摘要緩存
llm = ChatOpenAI(temperature=0.0)
memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=100)
memory.save_context({“input”: “Hello”}, {“output”: “What’s up”})
memory.save_context({“input”: “Not much, just hanging”}, {“output”: “Cool”})
memory.save_context({“input”: “What is on the schedule today?”}, {“output”: f”
{schedule}”})
print(“查看對話摘要緩存儲存”)
print(memory.load_memory_variables({})[‘history’])
conversation = ConversationChain(llm=llm, memory=memory, verbose=True)
print(“基于對話摘要緩存儲存的對話鏈”)
conversation.predict(input=”What would be a good demo to show?”)
print(“再次查看對話摘要緩存儲存”)
print(memory.load_memory_variables({})[‘history’])

查看對話摘要緩存儲存
System: The human and AI exchange greetings. The human asks about the schedule
for the day. The AI provides a detailed schedule, including a meeting with the
product team, work on the LangChain project, and a lunch meeting with a customer
interested in AI. The AI emphasizes the importance of bringing a laptop to
showcase the latest LLM demo during the lunch meeting.
基于對話摘要緩存儲存的對話鏈
> Entering new chain…
Prompt after formatting:
The following is a friendly conversation between a human and an AI. The AI is
talkative and provides lots of specific details from its context. If the AI does
not know the answer to a question, it truthfully says it does not know.
Current conversation:
System: The human and AI exchange greetings. The human asks about the schedule
for the day. The AI provides a detailed schedule, including a meeting with the
product team, work on the LangChain project, and a lunch meeting with a customer
interested in AI. The AI emphasizes the importance of bringing a laptop to
showcase the latest LLM demo during the lunch meeting.
Human: What would be a good demo to show?
AI:
> Finished chain.
再次查看對話摘要緩存儲存
System: The human and AI exchange greetings and discuss the schedule for the day.
The AI provides a detailed schedule, including a meeting with the product team,
work on the LangChain project, and a lunch meeting with a customer interested in
AI. The AI emphasizes the importance of bringing a laptop to showcase the latest
LLM demo during the lunch meeting. The human asks what would be a good demo to
show, and the AI suggests showcasing the latest LLM (Language Model) demo. The
LLM is a cutting-edge AI model that can generate human-like text based on a given
prompt. It has been trained on a vast amount of data and can generate coherent
and contextually relevant responses. By showcasing the LLM demo, the AI can
demonstrate the capabilities of their AI technology and how it can be applied to
various industries and use cases.

嘿，伙伴們，今天我們的AI探索之旅已經(jīng)圓滿結(jié)束。關(guān)于“面向開發(fā)者的LLM入門課程-對話儲存英文版提示”的內(nèi)容已經(jīng)分享給大家了。感謝你們的陪伴，希望這次旅程讓你對AI能夠更了解、更喜歡。謹(jǐn)記，精準(zhǔn)提問是解鎖AI潛能的鑰匙哦！如果有小伙伴想要了解學(xué)習(xí)更多的AI知識，請關(guān)注我們的官網(wǎng)“AI智研社”，保證讓你收獲滿滿呦！