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ensemble_large_language_models's Introduction

가제 : ensemble large language models

설명

Topic Classification task에 대해, LLM을 이용한 서비스를 제공하는 api들의 결과를 취합 ➡️ 비교

Task (추가중)

  • Topic Classification (KLUE-ynat) 문제를 api를 이용하여 해결하는 기반 구축
    • 여러 model에 대해 best prompt 알아내기
      • gpt-3.5-turbo
      • text-davinci-003
      • vicuna
  • KLUE, GLUE에 모두 적용 테스트

해결해야 할 문제

  • 대량의 데이터에 대한 결과를 확인하려 할 때 max token limit을 넘는 경우 openai.error.RateLimitError를 내며 종료되는데, 이에 대한 대처 방안은?
  • 결국 prompt 여러 종류를 사용해가며 출력한 결과를 합칠 건데, 어떤 prompt를 써야하는지 어떤 기준으로 판단할까?
  • token 사용량을 미리 계산하는 방법을 만들어두면 좋지 않을까?

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ensemble_large_language_models's Issues

openai.error.RateLimitError 대처 방안

대량의 데이터에 대한 결과를 확인하려 할 때 max token limit을 넘는 경우 openai.error.RateLimitError를 내며 종료되는데, 이에 대한 대처 방안은?

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