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hs-llm-qna-chatbot's Introduction

Dacon 도배하자 Q&A 챗봇 : 한솔데코 시즌2 AI 경진대회 [2nd Prize]

Summary

  • Data Preprocessing : 형식 오류 문장, 질문 간 유사도 동떨어진 문장 등을 확인 후 수정 및 대체하여 예외 문장 최소화
  • Data Augmentation : GPT 증강 및 인덱스 Permutation 활용 문장 간 연결 증강
  • Modeling : KoGPT2 Fine-Tuning, probabilistic sampling
  • Validation : 증강 데이터 임의 추출하여 검증셋 생성, 검증답변 - 모델 생성답변 간 cosine 유사도 평균으로 모델 평가
  • Refinement : 질문 - 답변간 유사도 확인하여 후보 답변 중 선택
  • Application : RAG 방식 Vector DB 추가 활용 가능성

Environment

  • OS: Linux-6.1.58+-x86_64-with-glibc2.35
  • Google Colab GPU (학습 V100, 추론 T4)

Libraries

  • pandas : 1.5.3
  • numpy : 1.25.2
  • torch : 2.2.1+cu121
  • transformers : 4.38.2
  • sentence_transformers : 2.5.1

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