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.
목차
Abstract 1. Introduction 2. Related Studies 3. Proposing a GPT-Based SME Technology Credit Evaluation System 4. Implementation Results and Analysis 5. Evaluation and Verification 6. Conclusion References
키워드
GPT-basedSmall and Medium Enterprises (SMEs)Technical Credit EvaluationLLM-based Chatbot SystemImprove Response Time
저자
Sungwook Yoon [ Division of SW Human Resources Development, Andong University, Instructor, Korea ]
Corresponding Author