{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/phoenix-democratizing-chatgpt-across","title":"Phoenix: Democratizing ChatGPT across Languages","arxiv_id":"2304.10453","date":"2023-04-20","proceeding":null,"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":"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. 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