RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      ChatGPT의 성능개선 및 검색기능 평가 - 회계분야 문제 해결 사례를 중심으로 - = The Evaluation of ChatGPT’s Improvement and Search Functionality† - Focusing on Accounting Cases -

      한글로보기

      https://www.riss.kr/link?id=A109295439

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      [Purpose] OpenAI's ChatGPT was first introduced in late 2022. The company has been released new versions of the model with improvements. In addition, a wide range of attempts has been made to take advantage of generative AI models for specialized fields. This study uses the latest ChatGPT 4o and evaluates its performance, which has been improved since ChatGPT 3.5.
      [Methodology] Based on the limitations reported in previous studies using ChatGPT 3.5, this study evaluated whether the performance was improved by utilizing ChatGPT 4o, the latest model as of August 2024. In particular, the performance was evaluated with respect to the accounting area.
      [Findings] The OpenAI's ChatGPT 4o correctly solved issues such as cost allocation of inventory assets using the last-in, first-out method, accounting for bond investments using the effective interest rate method, determining cash flows from operating activities using the indirect method, and allocation of overhead expenses using the step method and reciprocal method. However, there were limitations in applying the latest revised tax laws or providing financial information of a specific company with the Internet search.
      [Implications] As the performance of general-purpose AI models has improved, the model will be applied to the accounting. It is expected that the application of AI model to various accounting fields will continue, which will open up new possibilities.
      번역하기

      [Purpose] OpenAI's ChatGPT was first introduced in late 2022. The company has been released new versions of the model with improvements. In addition, a wide range of attempts has been made to take advantage of generative AI models for specialized fiel...

      [Purpose] OpenAI's ChatGPT was first introduced in late 2022. The company has been released new versions of the model with improvements. In addition, a wide range of attempts has been made to take advantage of generative AI models for specialized fields. This study uses the latest ChatGPT 4o and evaluates its performance, which has been improved since ChatGPT 3.5.
      [Methodology] Based on the limitations reported in previous studies using ChatGPT 3.5, this study evaluated whether the performance was improved by utilizing ChatGPT 4o, the latest model as of August 2024. In particular, the performance was evaluated with respect to the accounting area.
      [Findings] The OpenAI's ChatGPT 4o correctly solved issues such as cost allocation of inventory assets using the last-in, first-out method, accounting for bond investments using the effective interest rate method, determining cash flows from operating activities using the indirect method, and allocation of overhead expenses using the step method and reciprocal method. However, there were limitations in applying the latest revised tax laws or providing financial information of a specific company with the Internet search.
      [Implications] As the performance of general-purpose AI models has improved, the model will be applied to the accounting. It is expected that the application of AI model to various accounting fields will continue, which will open up new possibilities.

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼