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arXiv 2403.09362cs.CL
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科莫多:印度尼西亚地区语言的语言学远征

Komodo: A Linguistic Expedition into Indonesia's Regional Languages

Louis Owen, Vishesh Tripathi, Abhay Kumar, Biddwan Ahmed

AI总结:

Komodo-7B是一个70亿参数的多语言模型,支持印尼语、英语及11种地区语言,在多项任务中超越GPT-3.5等基准,旨在弥合低资源语言差距并改善教育公平。

摘要:

大型语言模型(LLM)的最新突破主要集中在易于获取且资源充足的语言上,如英语。然而,对于在公共领域缺乏足够语言资源的语言,仍然存在显著差距。我们的工作引入了Komodo-7B,这是一个70亿参数的大型语言模型,旨在通过无缝处理印度尼西亚语、英语以及印度尼西亚的11种地区语言来弥合这一差距。Komodo-7B是一个LLM家族,包括Komodo-7B-Base和Komodo-7B-Instruct。Komodo-7B-Instruct在各种任务和语言中取得了最先进的性能,超越了OpenAI的GPT-3.5、Cohere的Aya-101、Llama-2-Chat-13B、Mixtral-8x7B-Instruct-v0.1、Gemma-7B-it等设定的基准。该模型不仅在特定语言和整体评估中表现出卓越性能,还突出了其在语言多样性方面的卓越能力。我们致力于推进语言模型的发展,不仅限于资源丰富的语言,还旨在弥合那些语言资源有限的差距。此外,Komodo-7B-Instruct更好的跨语言理解有助于解决印度尼西亚的教育差距,提供从英语到11种地区语言的直接翻译,与现有的语言翻译服务相比有显著改进。Komodo-7B代表了语言模型包容性和有效性的关键一步,满足了不同社区的语言需求。

英文摘要:

The recent breakthroughs in Large Language Models (LLMs) have mostly focused on languages with easily available and sufficient resources, such as English. However, there remains a significant gap for languages that lack sufficient linguistic resources in the public domain. Our work introduces Komodo-7B, 7-billion-parameter Large Language Models designed to address this gap by seamlessly operating across Indonesian, English, and 11 regional languages in Indonesia. Komodo-7B is a family of LLMs that consist of Komodo-7B-Base and Komodo-7B-Instruct. Komodo-7B-Instruct stands out by achieving state-of-the-art performance in various tasks and languages, outperforming the benchmarks set by OpenAI's GPT-3.5, Cohere's Aya-101, Llama-2-Chat-13B, Mixtral-8x7B-Instruct-v0.1, Gemma-7B-it , and many more. This model not only demonstrates superior performance in both language-specific and overall assessments but also highlights its capability to excel in linguistic diversity. Our commitment to advancing language models extends beyond well-resourced languages, aiming to bridge the gap for those with limited linguistic assets. Additionally, Komodo-7B-Instruct's better cross-language understanding contributes to addressing educational disparities in Indonesia, offering direct translations from English to 11 regional languages, a significant improvement compared to existing language translation services. Komodo-7B represents a crucial step towards inclusivity and effectiveness in language models, providing to the linguistic needs of diverse communities.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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