International journal of advanced smart convergence

  • 제12권3호
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  • Pages.51-60
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  • 2023
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  • 2288-2847(pISSN)
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  • 2288-2855(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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Design and Implementation of an LLM system to Improve Response Time for SMEs Technology Credit Evaluation

  • Sungwook Yoon (Division of SW Human Resources Development, Andong University)
  • 투고 : 2023.06.26
  • 심사 : 2023.07.07
  • 발행 : 2023.09.30
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초록

This study focuses on the design of a GPT-based system for relatively rapid technology credit assessment of SMEs. This system addresses the limitations of traditional time-consuming evaluation methods and proposes a GPT-based model to comprehensively evaluate the technological capabilities of SMEs. This model fine-tunes the GPT model to perform fast technical credit assessment on SME-specific text data. Also, It presents a system that automates technical credit evaluation of SMEs using GPT and LLM-based chatbot technology. This system relatively shortens the time required for technology credit evaluation of small and medium-sized enterprises compared to existing methods. This model quickly assesses the reliability of the technology in terms of usability of the base model.

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참고문헌

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