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sync with main branch #191

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Apr 21, 2023
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update wiki ver
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ymcui committed Apr 18, 2023
commit e1c05ba1c812188b3921891377076fd048045cfb
3 changes: 2 additions & 1 deletion README.md
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<img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/ymcui/Chinese-LLaMA-Alpaca">
<img alt="GitHub top language" src="https://img.shields.io/github/languages/top/ymcui/Chinese-LLaMA-Alpaca">
<img alt="GitHub last commit" src="https://img.shields.io/github/last-commit/ymcui/Chinese-LLaMA-Alpaca">
<a href="https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki"><img alt="GitHub wiki" src="https://img.shields.io/badge/Github%20Wiki-v2.1-green"></a>
<a href="https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki"><img alt="GitHub wiki" src="https://img.shields.io/badge/Github%20Wiki-v2.2-green"></a>
</p>



以ChatGPT、GPT-4等为代表的大语言模型(Large Language Model, LLM)掀起了新一轮自然语言处理领域的研究浪潮,展现出了类通用人工智能(AGI)的能力,受到业界广泛关注。然而,由于大语言模型的训练和部署都极为昂贵,为构建透明且开放的学术研究造成了一定的阻碍。

为了促进大模型在中文NLP社区的开放研究,本项目开源了**中文LLaMA模型和指令精调的Alpaca大模型**。这些模型**在原版LLaMA的基础上扩充了中文词表**并使用了中文数据进行二次预训练,进一步提升了中文基础语义理解能力。同时,中文Alpaca模型进一步使用了中文指令数据进行精调,显著提升了模型对指令的理解和执行能力。详细内容请参考技术报告[(Cui, Yang, and Yao, 2023)](https://arxiv.org/abs/2304.08177)。
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2 changes: 1 addition & 1 deletion README_EN.md
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<img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/ymcui/Chinese-LLaMA-Alpaca">
<img alt="GitHub top language" src="https://img.shields.io/github/languages/top/ymcui/Chinese-LLaMA-Alpaca">
<img alt="GitHub last commit" src="https://img.shields.io/github/last-commit/ymcui/Chinese-LLaMA-Alpaca">
<a href="https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki"><img alt="GitHub wiki" src="https://img.shields.io/badge/Github%20Wiki-v2.1-green"></a>
<a href="https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki"><img alt="GitHub wiki" src="https://img.shields.io/badge/Github%20Wiki-v2.2-green"></a>
</p>


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