Minimax
Minimax is a Chinese startup that provides natural language processing models for companies and individuals.
This example demonstrates using Langchain to interact with Minimax.
Setup
To run this notebook, you'll need a Minimax account, an API key, and a Group ID
Single model call
from langchain_community.llms import Minimax
API Reference:Minimax
# Load the model
minimax = Minimax(minimax_api_key="YOUR_API_KEY", minimax_group_id="YOUR_GROUP_ID")
# Prompt the model
minimax("What is the difference between panda and bear?")
Chained model calls
# get api_key and group_id: https://api.minimax.chat/user-center/basic-information
# We need `MINIMAX_API_KEY` and `MINIMAX_GROUP_ID`
import os
os.environ["MINIMAX_API_KEY"] = "YOUR_API_KEY"
os.environ["MINIMAX_GROUP_ID"] = "YOUR_GROUP_ID"
from langchain.chains import LLMChain
from langchain_community.llms import Minimax
from langchain_core.prompts import PromptTemplate
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate.from_template(template)
llm = Minimax()
llm_chain = LLMChain(prompt=prompt, llm=llm)
question = "What NBA team won the Championship in the year Jay Zhou was born?"
llm_chain.run(question)
Related
- LLM conceptual guide
- LLM how-to guides