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Merge pull request #4662 from wzh1994/wzh/readme

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Add `LazyLLM` to `Projects using LLaMA Factory` in `README.md`

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README.md
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@ -610,6 +610,7 @@ If you have a project that should be incorporated, please contact via email or c
1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**: A multimodal large language model specialized in Chinese medical domain, based on LLaVA-1.5-7B.
1. **[AutoRE](https://github.com/THUDM/AutoRE)**: A document-level relation extraction system based on large language models.
1. **[NVIDIA RTX AI Toolkit](https://github.com/NVIDIA/RTX-AI-Toolkit)**: SDKs for fine-tuning LLMs on Windows PC for NVIDIA RTX.
1. **[LazyLLM](https://github.com/LazyAGI/LazyLLM)**: Easyest and lazyest way for building multi-agent LLMs applications with further finetuning which is supported by LLaMA-Factory.
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README_zh.md
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@ -610,6 +610,7 @@ run_name: test_run # 可选
1. **[Chinese-LLaVA-Med](https://github.com/BUAADreamer/Chinese-LLaVA-Med)**：中文多模态医学大模型，基于 LLaVA-1.5-7B 在中文多模态医疗数据上微调而得。
1. **[AutoRE](https://github.com/THUDM/AutoRE)**：基于大语言模型的文档级关系抽取系统。
1. **[NVIDIA RTX AI Toolkit](https://github.com/NVIDIA/RTX-AI-Toolkit)**: 在 Windows 主机上利用英伟达 RTX 设备进行大型语言模型微调的开发包。
1. **[LazyLLM](https://github.com/LazyAGI/LazyLLM)**: 低代码构建多Agent大模型应用的开发工具，基于LLaMA-Factory支持对用到的模型进行后续地微调.
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