• Data engineering layer: This layer focuses on the real-
time processing of NLP data to tackle the challenges of
high temporal sensitivity and low signal-to-noise ratio in-
herent in financial data. It incorporates state-of-the-art NLP
techniques to filter noise and highlight the most salient
pieces of information.

• LLMs layer: Lying at the heart, it encompasses various
fine-tuning methodologies, with a priority on lightweight
adaptation, to keep the model updated and pertinent. By
maintaining an updated model, FinGPT can deal with the
highly dynamic nature of financial data, ensuring its re-
sponses are in sync with the current financial climate.
FinGPT-Open-SourceFinancialLargeLanguageModels