FinGPT, developed by AI4Finance Foundation, is the most representative open source large language modeling platform in the current financial field. The platform uses lightweight adaptation technology and reinforcement learning methods, specifically optimized for financial data processing, analysis and prediction, covering sentiment analysis, financial relationship extraction, news classification and other core financial scenarios. Its open-source feature enables small teams and individual developers to obtain powerful financial analytics at low cost, which is significantly different from closed-source commercial solutions such as BloombergGPT. The platform has built a professional dataset system including fingpt-sentiment-train, and guarantees the right of users to modify and secondary development through the Apache 2.0 license.
The technical architecture of the project consists of three core modules: FinGPT-Sentiment supports opinion analysis, FinGPT-Forecaster focuses on quantitative prediction, and the base model adopts the Llama2-13B architecture. This modular design maintains scalability and enables low-resource fine-tuning through LoRA technology. In empirical cases such as Apple's financial report analysis, the system demonstrates a sentiment classification accuracy of more than 95%, validating its practical value in real financial scenarios.
This answer comes from the articleFinGPT: Open Source Financial Big Language Modeling Platform for Financial Analytics and PredictionThe
