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ko-reranker

Dongjin-kr

ko-reranker는 BAAI/bge-reranker-larger 기반 한국어 데이터에 대한 fine-tuned model 입니다. 보다 자세한 사항은 korean-reranker-git / AWS Blog, 한국어 Reranker를 활용한 검색 증강 생성(RAG) 성능 올리기을 참고하세요 - #### Reranker는 임베딩 모델과 달리 질문과 문서를 입력으로 사용하며 임베딩 대신 유사도를 직접 출력합니다. - #### Reranker에 질문과 구절을 입력하면 연관성 점수를 얻을 수 있습니다. - #### Reranker는 CrossEntropy loss를 기반으로 최적화되므로 관련성 점수가 특정 범위에 국한되지 않습니다. - #### **컨택스트 순서가 정확도에 영향 준다**(Lost in Middle, *Liu et al., 2023*)

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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ko-reranker

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