This approach ensures timely updates and adaptability, es-
sential in the dynamic financial domain. Being open-source,
FinGPT not only promotes transparency but also allows
user customization, catering to the rising trend of personal-
ized financial advisory services. Ultimately, FinGPT’s cost-
effective, flexible framework holds the potential to democra-
tize financial language modeling and foster user-focused fi-
nancial services.
Fine-tuning via Low-rank Adaptation (LoRA)
In FinGPT, we fine-tune to a pre-trained LLM utilizing a
novel financial dataset. It’s well recognized that high-quality
labeled data is a pivotal determinant for many successful
LLMs, including ChatGPT. However, acquiring such top-
notch labeled data often proves costly in terms of time and
resources and generally requires the expertise of finance pro-
fessionals.
FinGPT-Open-SourceFinancialLargeLanguageModels