Getting started with LangChain (1) Accessing the LLM model

GitHub - liaokongVFX/LangChain-Chinese-Getting-Started-Guide: LangChain's Chinese Getting Started Guide LangChain's Chinese Getting Started Guide. Contribute to liaokongVFX/LangChain-Chinese-Getting-Started-Guide development by creating an account on GitHub. https:// github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide 

Table of contents

1. Install langchain

2. Langchain relies on LLM models, databases, external API interfaces, etc., taking openAI as an example

3. Obtain the key of OpenAI

4. Simple example

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1. Installation

pip install langchain

or 

conda install langchain -c conda-forge

2. Langchain relies on LLM models, databases, external API interfaces, etc., taking openAI as an example

pip install openai

3. Obtain the key of OpenAI

4. Simple example

import os
from langchain.llms import OpenAI

os.environ["OPENAI_API_KEY"] = '***************'


llm = OpenAI(model_name="text-davinci-003", max_tokens=1024)
result = llm("怎么评价人工智能")
print(result)