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https://github.com/ant-research/fin_domain_llm
Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
https://github.com/ant-research/fin_domain_llm
finance gpt large-language-models question-answering
Last synced: about 1 month ago
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Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
- Host: GitHub
- URL: https://github.com/ant-research/fin_domain_llm
- Owner: ant-research
- Created: 2023-08-04T09:56:19.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-06T09:13:59.000Z (5 months ago)
- Last Synced: 2024-06-05T17:59:49.355Z (3 months ago)
- Topics: finance, gpt, large-language-models, question-answering
- Language: Python
- Homepage:
- Size: 293 KB
- Stars: 71
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- Awesome-Domain-LLM - WeaverBird (η»ε·₯ιΈ)
README
## WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)
![](https://img.shields.io/badge/license-Apache-000000.svg)
![PRs Welcome](https://img.shields.io/badge/PRs-Welcome-green)
![GitHub last commit](https://img.shields.io/github/last-commit/ant-research/fin_domain_llm)
![Stars](https://img.shields.io/github/stars/ant-research/fin_domain_llm)
![]()
π Paper β’ π δΈζ README β’ πΊ [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**
## News
- ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [08-10-2023] We released the paper [WeaverBird](https://arxiv.org/abs/2308.05361)!
## 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:
- [Langchain](https://github.com/langchain-ai/langchain)
- [Langchain-chatglm](https://github.com/chatchat-space/Langchain-Chatchat)
- [WebGLM](https://github.com/THUDM/WebGLM)
- [EasyTPP](https://github.com/ant-research/EasyTemporalPointProcess)
- [Huggingface - transformers](https://github.com/huggingface/transformers)
- [LLaMA-Efficient-Tuning](https://github.com/hiyouga/LLaMA-Efficient-Tuning)## Star History [Back to Top]
![Star History Chart](https://api.star-history.com/svg?repos=ant-research/fin_domain_llm&type=Date)