Related papers: Phoenix: Democratizing ChatGPT across Languages

Phoenix: Democratizing ChatGPT across Languages

URL: http://arxiv.org/abs/2304.10453v1
Date: Thu, 20 Apr 2023 16:50:04 GMT
Title: Phoenix: Democratizing ChatGPT across Languages
Authors: Zhihong Chen, Feng Jiang, Junying Chen, Tiannan Wang, Fei Yu, Guiming Chen, Hongbo Zhang, Juhao Liang, Chen Zhang, Zhiyi Zhang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li
Abstract summary: We release a large language model "Phoenix", achieving competitive performance among open-source English and Chinese models. 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.
Score: 68.75163236421352
License: http://creativecommons.org/licenses/by/4.0/
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.

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