WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
📃 Paper • 🌐 中文 README • 📺 [Demo, version 0.0.1]
WeaverBird is an intelligent dialogue system designed specifically for the finance domain. Our system harnesses a large language model of GPT architecture that has been tuned using extensive corpora of finance-related text.
We are actively updating the repo and will finish shortly
[08-10-2023] We released the paper WeaverBird!
Citation [Back to Top]
If you find WeaverBird useful for your research or development, please cite the following paper:
@article{xue2023weaverbird,
title={WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine},
author={Siqiao Xue and Fan Zhou and Yi Xu and Ming Jin and Qingsong Wen and Hongyan Hao and Qingyang Dai and Caigao Jiang and Hongyu Zhao and Shuo Xie and Jianshan He and James Zhang and Hongyuan Mei},
journal={arXiv preprint arXiv:2308.05361},
year={2023}
}
Acknowledgment [Back to Top]
The project is developed by researchers from Ant Group, University of Chicago and TTIC. We thank our colleagues at Machine Intelligence Team, Interbank Technologies Team of Ant Group and Alibaba DAMO Academy for helpful comments.
The following repositories are used in WeaverBird, either in close to original form or as an inspiration: