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Bruce Yang ByFinTech
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Step into a world where artificial intelligence is more than a buzzword — it’s a game-changer transforming the core of numerous industries. One such industry experiencing this revolutionary shift is the realm of finance.
Today, we present FinGPT, an open-source financial large language model (FinLLMs) designed based on the GPT-4 architecture, developed by AI4Finance-Foundation. It has started to spark interest in the global financial landscape, owing to its unique and innovative capabilities.
With FinGPT, we propose a fresh perspective on financial services. It functions as a useful information filter and a reliable aide for both finance professionals and newcomers. However, that’s just the beginning of what FinGPT has to offer!
FinGPT blueprint:
arxiv.org
FinGPT GitHub:
github.com
I want to report on the current progress of FinGPT as of July 2023: we just released a paper about sentiment analysis: Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models
One of the key strengths of FinGPT lies in its ability to perform financial sentiment analysis. Notably, this has been achieved by the process of instruction tuning. However, the potential of FinGPT extends far beyond just analyzing sentiment in the financial sphere. In fact, we’ve identified a wide range of applications across 19 different cases, opening up avenues for extensive utilization of the LLMs.


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Chief Data Scientist@AI4Finance | Guest Lecturer@Columbia University | https://www.youtube.com/@ByFinTech
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