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Merge pull request #96 from nullnonenilNULL/master
[docs] docs: update readme
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README.md

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See the full documentation for installation, tutorials, and advanced usage — [English](https://loongforge.readthedocs.io/en/latest/index.html) · [中文](https://loongforge.readthedocs.io/zh-cn/latest/index.html).
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**1. Install**via [**Docker**](./docker) (*prebuilt images coming soon*) or **source build**:
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**1. Install**using **prebuilt Docker images** or **source build**:
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- **NVIDIA GPU**: [Installation Guide](https://loongforge.readthedocs.io/en/latest/get_started/installation.html)
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- **Kunlun XPU**: [Installation Guide](https://loongforge.readthedocs.io/en/latest/kunlun_tutorial/install_p800.html)
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README_zh.md

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> 🐉 LoongForge 是百度百舸 **Loong** 开源系列的一员 —— 名字源于中国传统 **龙舟**,象征协同发力与破浪前行。
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<img width="2834" height="1160" alt="loongforge-overview-notitle1" src="https://github.com/user-attachments/assets/4bc9d3f2-914c-4c01-91dc-10d22c08e02f" />
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**LoongForge** 是面向 **LLM、VLM、Diffusion 与 Embodied 模型** 的统一训练框架,覆盖 **预训练(Pre-training)****持续预训练(Continued Pre-training)****SFT**。基于 Megatron-LM 在 **模型覆盖度****训练性能****硬件支持** 三个维度做了深度系统性增强,相对主流开源训练方案有**显著的性能提升**
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在开源之前,LoongForge 的前身是 **AIAK-Training-LLM** —— 百度百舸的训练加速栈,已在 **教育****计算机视觉****Embodied AI** 等多家企业客户的生产训练中落地,相对客户原有方案通常带来 **30%~50% 加速**,最大规模的生产训练任务达到 **5,000+ XPU**
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完整的安装、教程与进阶使用请查阅文档 —— [English](https://loongforge.readthedocs.io/en/latest/index.html) · [中文](https://loongforge.readthedocs.io/zh-cn/latest/index.html)
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**1. 安装** —— 可通过 [**Docker**](./docker)*预构建镜像即将发布***源码构建**
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**1. 安装** —— 可使用 **预构建镜像** **源码构建**
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- **NVIDIA GPU**[安装指南](https://loongforge.readthedocs.io/zh-cn/latest/get_started/installation.html)
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- **昆仑芯 XPU**[安装指南](https://loongforge.readthedocs.io/zh-cn/latest/kunlun_tutorial/install_p800.html)
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