노코드 WEM의 OPEN AI 기술분석
OPEN AI technology Analysis of Nocode WEM
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초록
최근 소프트웨어 개발 분야에서는 노코드/로우코드 방식과 인공지능(AI)의 확산으로, 프로그래밍 경험이없는 개인이나 기업도 복잡한 애플리케이션을 쉽게 개발할 수 있게 되었으며, 특히 OPEN AI사의 GPT 모델이 널리 활용되고 있다. 본 연구는 노코드/로우코드 플랫폼 중 WEM을 통해 OPEN AI의 API를 활용한 기술력을 분석하고자 한다. WEM은 AI 기술과 직관적인 사용자 인터페이스를 결합해 코딩의 복잡성을 제거하고다양한 작업을 손쉽게 수행할 수 있게 지원하는 주요 플랫폼으로 WEM이 사용하는 GPT-3 및 GPT-3.5 모델의 한글 처리 결과물 품질이 낮아사용자 만족도가 떨어지는 문제점이 있음을 판단하여, 본 연구에서는 이러한 문제를 분석하고 GPT-3.0, GPT-3.5, DALL-E 모델의 한글 처리 결과를 개선할 방안을 제시한다. 이를통해 노코드/로우코드 환경에서 한글 사용의 품질을 향상시키고, 프로젝트의 기술적 완성도를 높이는 데 기여할 수 있을 것으로 판단된다.
Abstract
In the field of software development, the recent spread of no-code/low-code method and artificial intelligence (AI) has made it easier for individuals or companies without programming experience to develop complex applications, and in particular, OPEN AI's GPT model is widely used. This study aims to analyze the technological prowess of OPEN AI's API through WEM among the no-code/low-code platforms. WEM is a major platform that combines AI technology and intuitive user interface to remove the complexity of coding and to enable easy performance of various tasks. Judging that there is a problem of poor user satisfaction due to the low quality of the Korean language processing results of the GPT-3 and GPT-3.5 models used by WEM, this study analyzes these problems and suggests ways to improve the Korean language processing results of the GPT-3.0, GPT-3.5, and DALL-E models. Through this, it is believed that it will be able to contribute to improving the quality of Korean language use in the no-code/low-code environment and to enhancing the technical completeness of the project.
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