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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 (over 1 year ago)
Default Branch: main
Last Pushed: 2024-04-06T09:13:59.000Z (8 months ago)
Last Synced: 2024-08-02T06:16:52.757Z (4 months ago)
Topics: finance, gpt, large-language-models, question-answering
Language: Python
Homepage:
Size: 293 KB
Stars: 74
Watchers: 3
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

Awesome-Domain-LLM - WeaverBird (织工鸟)

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)



    



📃 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**



## 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)