OPEN AI technology Analysis of Nocode WEM

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.