Large language models (LLMs) have shown the
potential of revolutionizing natural language pro-
cessing tasks in diverse domains, sparking great
interest
in finance. Accessing high-quality fi-
nancial data is the first challenge for financial
LLMs (FinLLMs). While proprietary models
like BloombergGPT have taken advantage of their
unique data accumulation, such privileged access
calls for an open-source alternative to democratize
Internet-scale financial data.
In this paper, we present an open-source large
language model, FinGPT, for the finance sec-
tor. Unlike proprietary models, FinGPT takes a
data-centric approach, providing researchers and
practitioners with accessible and transparent re-
sources to develop their FinLLMs. We high-
light the importance of an automatic data cura-
tion pipeline and the lightweight low-rank adap-
tation technique in building FinGPT. Further-
more, we showcase several potential applica-
tions as stepping stones for users, such as robo-
FinGPT-Open-SourceFinancialLargeLanguageModels