如何使用 PredictionGuard wrapper
! pip install predictionguard langchain
import predictionguard as pg
from langchain.llms import PredictionGuard
基本的LLM用法#
pgllm = PredictionGuard(name="default-text-gen", token="<your access token>")
pgllm("Tell me a joke")
链#
from langchain import PromptTemplate, LLMChain
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate(template=template, input_variables=["question"])
llm_chain = LLMChain(prompt=prompt, llm=pgllm, verbose=True)
question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"
llm_chain.predict(question=question)
template = """Write a {adjective} poem about {subject}."""
prompt = PromptTemplate(template=template, input_variables=["adjective", "subject"])
llm_chain = LLMChain(prompt=prompt, llm=pgllm, verbose=True)
llm_chain.predict(adjective="sad", subject="ducks")