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README.md

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-FlagAI aims to help researchers and developers to freely train and test large-scale models for NLP tasks.
+FlagAI (Fast LArge-scale General AI models) is an fast, easy-to-use and extensible toolkit for large-scale model. Our goal is to support training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality. Currently, we are focusing on NLP models and tasks. In near futher, we will support for other modalities.
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-* Now it supports GLM, Bert, RoBerta, GPT2, T5 and models from Huggingface Transformers.
+* Now it supports GLM, BERT, RoBERTa, GPT2, T5, and models from Huggingface Transformers.
 
-* It provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub.
+* It provides APIs to quickly download and use those pre-trained models on a given text, fine-tune them on your own datasets, and then share them with the community on our model hub.
 
-* These models can be applied on Text, for tasks like text classification, information extraction, question answering, summarization, text generation, especially in Chinese.
+* These models can be applied to (Chinese/English) Text, for tasks like text classification, information extraction, question answering, summarization, and text generation, especially in Chinese.
 
-* FlagAI is backed by the three most popular data/model parallel libraries — PyTorch/Deepspeed/Megatron-LM — with a seamless integration between them. Your can paralle your training/testing process with less than ten lines of code.
+* FlagAI is backed by the three most popular data/model parallel libraries — PyTorch/Deepspeed/Megatron-LM — with seamless integration between them. Users can parallel their training/testing process with less than ten lines of code.
 
 
 The code is partially based on [Transformers](https://github.com/huggingface/transformers) and [DeepSpeedExamples](https://github.com/microsoft/DeepSpeedExamples).

README_zh.md

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-FlagAI 旨在帮助研究人员和开发人员自由地训练和测试用于 NLP 任务的大规模模型。
+FlagAI 是一个快速、易于使用和可扩展的大型模型工具包。 我们的目标是支持在多模态的各种下游任务上训练、微调和部署大规模模型。 目前，我们专注于 NLP 模型和任务。 在不久的将来，我们将支持其他模态。
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 * 现在它支持 GLM、BERT、RoBERTa、GPT2、T5 模型和 Huggingface Transformers 的模型。
 
-* 它提供 API 以快速下载并在给定文本上使用这些预训练模型，在您自己的数据集上对其进行微调，然后在我们的模型中心与社区共享它们。
+* 它提供 API 以快速下载并在给定（中/英文）文本上使用这些预训练模型，在您自己的数据集上对其进行微调，然后在我们的模型中心与社区共享它们。
 
 * 这些模型可以应用于文本，用于文本分类、信息提取、问答、摘要、文本生成等任务，尤其是中文。