Abstract: LLM among AI has been increased powerful tool that has the potential to revolutionize research as well as general purpose. LLM (large language models) such as ChatGPT based on LLM can assist not only communication, art translation between art and text but also research such as sciences, engineering, economy trend, and forecasting of GDP growth. It enables economists to forecast the growth of GDP by describing all domain data and graph. LLM can also provide implications of LLM-powered cognitive automation for economic research, in some areas. This paper can explain how to get started and provide preparation on the latest capabilities of LLM (AI) in economics. To research on purpose, the paper of LLM should mention about what kind of language models they use, what is the core approaches, what is the tuned parameter (PEFT), and how they obtain practical data for application. These methodologies of LLM application should be provided through research and simulation of real-world LLM applications across the scientific area, engineering field, healthcare issues, and creative topic. The research of Korea econometrics based on LLM (K-EcoLLM) should be performed through a review of current economic situation and data on purpose because we cannot fully and effectively use by the LLM of general purpose. That is why this paper provide the motivation and research strategy on Korean econometric by LLM.
Keywords: GAI, LLM, ChatGPT, Econometrics, Korean Econometrics.
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DOI:
10.17148/IARJSET.2026.13201
[1] Dong Hwa Kim, "A Study on the Application of LLM-AI for Korean Econometrics Research," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13201