Large Language Models in Finance: A Survey
189 Citations•2023•
Yinheng Li, Shaofei Wang, Han Ding
journal unavailable
A decision framework is proposed to guide financial professionals in selecting the appropriate LLM solution based on their use case constraints around data, compute, and performance needs and provides a pathway from lightweight experimentation to heavy investment in customized LLMs.
Abstract
Recent advances in large language models (LLMs) have opened new possibilities for artificial intelligence applications in finance. In this paper, we provide a practical survey focused on two key aspects of utilizing LLMs for financial tasks: existing solutions and guidance for adoption.