Potential application of large language models in the financial field

Abstract

 Recent advancements in artificial intelligence have led to the research, development, and implementation of various new technologies. Large language models (LLMs) have emerged as a prominent research focus across multiple disciplines due to their remarkable capabilities in data collection, analysis, scenario simulation, and programming. These capabilities hold significant potential for applications in the financial sector. By leveraging these strengths, economic researchers, financial institutions, and individual investors can more effectively strike a balance between risk and return. The financial market contains vast amounts of information, ranging from essential data to peripheral materials, which can be challenging for humans to process comprehensively. Large language models can help financial professionals extract key insights from financial markets and make informed decisions.