생성형 인공지능 기술의 최신 동향과 적용 사례 분석

Abstract

Over the past decade, artificial intelligence (AI) technology has been widely applied across various fields due to rapid advancements in machine learning and neural network technologies. These developments have opened an era of intelligent process automation in industries such as healthcare, manufacturing, finance, and automotive. Recently, the paradigm has shifted towards research on accessible AI technologies aimed at creating ecosystem environments and providing personalized services. Additionally, there has been growing interest in generative AI technologies, which create new data based on learned data. Generative AI refers to technologies that generate new content―such as text, audio, and images―in response to user requests, rather than merely learning from existing data. Due to these advantages, various research and development efforts are underway to apply generative AI technology. This paper analyzes the trends and application cases of generative AI technology by examining its main components and functions, presenting the current state of generative AI through cases studies, and discussing future challenges for improvement.