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Bruce Yang ByFinTech
2023-10-08 16:37:44 +08:00
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@@ -81,7 +81,7 @@ We democratize Internet-scale data for financial large language models (FinLLMs)
<img align="center" src=figs/FinGPT_framework_20231003.png>
</div>
* [FinGPT-RAG](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT-RAG)
* [FinGPT-RAG](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT-RAG): We present a retrieval-augmented large language model framework specifically designed for financial sentiment analysis, optimizing information depth and context through external knowledge retrieval, thereby ensuring nuanced predictions.
<div align="center">
<img align="center" src=figs/FinGPT_RAG_framework.png>
@@ -93,7 +93,9 @@ We democratize Internet-scale data for financial large language models (FinLLMs)
<img align="center" src=figs/FinGPT_FinNLP_data_source.png>
</div>
* [FinGPT-Benchmark](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT-Benchmark)
* [FinGPT-Benchmark](https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT-Benchmark): We introduce a novel Instruction Tuning paradigm optimized for open-source Large Language Models (LLMs) in finance, enhancing their adaptability to diverse financial datasets while also facilitating cost-effective, systematic benchmarking from task-specific, multi-
task, and zero-shot instruction tuning tasks. Through detailed analysis of various base models and a commitment to openness and reproducibility, our methodology provides invaluable insights for researchers and lays a robust foundation for future developments in open-source financial LLMs.
<div align="center">
<img align="center" src=figs/FinGPT_Benchmark.png>