template = """List all the colors in a rainbow"""
prompt = PromptTemplate(template=template, input_variables=[], output_parser=output_parser)
llm_chain = LLMChain(prompt=prompt, llm=llm)
llm_chain.predict()
'\n\nRed, orange, yellow, green, blue, indigo, violet'
With predict_and_parser:
llm_chain.predict_and_parse()
['Red', 'orange', 'yellow', 'green', 'blue', 'indigo', 'violet']
Initialize from string#
You can also construct an LLMChain from a string template directly.
template = """Tell me a {adjective} joke about {subject}."""
llm_chain = LLMChain.from_string(llm=llm, template=template)
llm_chain.predict(adjective="sad", subject="ducks")
'\n\nQ: What did the duck say when his friend died?\nA: Quack, quack, goodbye.'
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Router Chains
 Contents
  
LLM Chain
Additional ways of running LLM Chain
Parsing the outputs
Initialize from string
By Harrison Chase
    
      © Copyright 2023, Harrison Chase.
      
  Last updated on Jun 16, 2023.
rtdocs_stable/api.python.langchain.com/en/stable/modules/chains/generic/llm_chain.html