Phoenix: Democratizing ChatGPT across Languages

Zhihong Chen, Feng Jiang, Junying Chen, Tiannan Wang, Fei Yu +9 more
4/20/2023
cs.CLcs.AI

Official code: FreedomIntelligence/LLMZoo (2,935 stars, Apache-2.0, last commit 2023-11-26).

Abstract

This paper presents our efforts to democratize ChatGPT across language. We release a large language model "Phoenix", achieving competitive performance among open-source English and Chinese models while excelling in languages with limited resources (covering both Latin and non-Latin languages). We believe this work will be beneficial to make ChatGPT more accessible, especially in countries where people cannot use ChatGPT due to restrictions from OpenAI or local goverments. Our data, code, and models are available at https://github.com/FreedomIntelligence/LLMZoo.

View on arXivView PDF

Code Implementations(1)

FreedomIntelligence/LLMZooOfficial100%
Apache-2.0

⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

2,935193Shell, PythonApr 1, 20232 years agoApache-2.0

Cite this paper

@article{chen2023phoenix,
  title  = {Phoenix: Democratizing ChatGPT across Languages},
  author = {Zhihong Chen and Feng Jiang and Junying Chen and Tiannan Wang and Fei Yu and Guiming Chen and Hongbo Zhang and Juhao Liang and Chen Zhang and Zhiyi Zhang and Jianquan Li and Xiang Wan and Benyou Wang and Haizhou Li},
  year   = {2023},
  eprint = {2304.10453},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.10453v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2304.10453.svg)](https://codeofpaper.com/paper/2304.10453)

Discussion