{"id":7226,"date":"2024-08-03T14:38:20","date_gmt":"2024-08-03T06:38:20","guid":{"rendered":"https:\/\/aict.nkust.edu.tw\/digitrans\/?p=7226"},"modified":"2024-12-13T21:11:12","modified_gmt":"2024-12-13T13:11:12","slug":"%e4%bd%bf%e7%94%a8-langchain-%e5%92%8c-gpt-4o-mini-%e5%bb%ba%e7%ab%8b%e9%9d%9e%e5%90%8c%e6%ad%a5-llm-%e6%87%89%e7%94%a8%e7%a8%8b%e5%bc%8f","status":"publish","type":"post","link":"https:\/\/aict.nkust.edu.tw\/digitrans\/?p=7226","title":{"rendered":"\u4f7f\u7528 LangChain \u548c GPT-4o Mini \u5efa\u7acb\u975e\u540c\u6b65 LLM \u61c9\u7528\u7a0b\u5f0f"},"content":{"rendered":"\n

2024-08-03 | givkashi<\/p>\n\n\n\n

\u5728\u7576\u4eca\u4e16\u754c\uff0c\u540c\u6642\u8655\u7406\u591a\u500b\u4efb\u52d9\u7684\u80fd\u529b\u5c0d\u65bc\u958b\u767c\u4eba\u54e1\u4f86\u8aaa\u662f\u4e00\u9805\u81f3\u95dc\u91cd\u8981\u7684\u6280\u80fd\uff0c\u5c24\u5176\u662f\u5728\u4f7f\u7528\u8a9e\u8a00\u6a21\u578b\u6642\u3002\u5728\u9019\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u5011\u5c07\u9010\u6b65\u4f7f\u7528 LangChain \u548c OpenAI \u7684 GPT-4 \u6a21\u578b\u5efa\u7acb\u975e\u540c\u6b65\u7ffb\u8b6f\u670d\u52d9\u3002\u9019\u662f\u540c\u6642\u767c\u9001\u8acb\u6c42\u4e26\u63d0\u9ad8\u61c9\u7528\u7a0b\u5f0f\u6548\u80fd\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002<\/p>\n\n\n\n

\u5148\u6c7a\u689d\u4ef6<\/h1>\n\n\n\n

\u60a8\u53ef\u4ee5\u4f7f\u7528 pip \u5b89\u88dd\u6240\u9700\u7684\u5eab\uff1a<\/p>\n\n\n\n

!pip install -q -U langchain langchain-openai langchain_community<\/pre>\n\n\n\n
\u7a0b\u5f0f\u78bc<\/h1>\n\n\n\n
\u4ee5\u4e0b\u662f\u5efa\u7acb\u975e\u540c\u6b65\u7ffb\u8b6f\u670d\u52d9\u7684\u5b8c\u6574\u7a0b\u5f0f\u78bc\u3002\u8a72\u670d\u52d9\u7372\u53d6\u82f1\u8a9e\u53e5\u5b50\u5217\u8868\u4e26\u5c07\u5176\u540c\u6642\u7ffb\u8b6f\u6210\u6cd5\u8a9e\u3002<\/p>\n\n\n\n
  import asyncio
from langchain_openai import ChatOpenAI
from langchain.prompts import PromptTemplate
from langchain_core.runnables import RunnableSequence

# Define your LangChain components
llm = ChatOpenAI(model_name='openai\/gpt-4o-mini')

template = \"Translate the following English text to French: {text}\"
prompt = PromptTemplate(template=template, input_variables=[\"text\"])

# Combine them into a RunnableSequence
chain = RunnableSequence(first=prompt, last=llm)

# Define an async function to run the chain
async def run_chain(text):
    return await chain.ainvoke({\"text\": text})

# Define a function to run multiple chains concurrently
async def run_multiple_chains(texts):
    tasks = [run_chain(text) for text in texts]
    results = await asyncio.gather(*tasks)
    return results

# List of texts to process
texts = [
    \"Hello, how are you?\",
    \"What is your name?\",
    \"Where are you from?\",
    \"What do you do?\"
]

# Run the chains concurrently
results = asyncio.run(run_multiple_chains(texts))

# Print the results
for result in results:
    print(result)<\/pre>\n\n\n\n
\u89e3\u91cb<\/h1>\n\n\n\n
    \n
  1. LangChain\u00a0\u7d44\u4ef6<\/strong>\uff1a<\/li>\n<\/ol>\n\n\n\n