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"""LLM Chain specifically for generating examples for question answering.""" | |
from __future__ import annotations | |
from typing import Any | |
from langchain.chains.llm import LLMChain | |
from langchain.evaluation.qa.generate_prompt import PROMPT | |
from langchain.llms.base import BaseLLM | |
class QAGenerateChain(LLMChain): | |
"""LLM Chain specifically for generating examples for question answering.""" | |
def from_llm(cls, llm: BaseLLM, **kwargs: Any) -> QAGenerateChain: | |
"""Load QA Generate Chain from LLM.""" | |
return cls(llm=llm, prompt=PROMPT, **kwargs) | |