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README.md

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 <p align="center"> <a > 🌟如果觉得有用，不妨给个🌟👆🏻Star支持一下吧~ </a> </p>
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+## 其他项目 🔥🔥 
+
+|🛠[lite.ai.toolkit](https://github.com/DefTruth/lite.ai.toolkit) | 💎[torchlm](https://github.com/DefTruth/torchlm) | 📒[statistic-learning-R-note](https://github.com/DefTruth/statistic-learning-R-note) | 🎉[cuda-learn-note](https://github.com/DefTruth/cuda-learn-note) | 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference) | 
+|:---:|:---:|:---:|:---:|:---:|
+|![](https://img.shields.io/github/stars/DefTruth/lite.ai.toolkit.svg?style=social) ![](https://img.shields.io/github/downloads/DefTruth/lite.ai.toolkit/total?color=ccf&label=downloads&logo=github&logoColor=lightgrey)| ![](https://img.shields.io/github/stars/DefTruth/torchlm.svg?style=social) ![](https://static.pepy.tech/personalized-badge/torchlm?period=total&units=international_system&left_color=grey&right_color=blue&left_text=downloads)| ![](https://img.shields.io/github/stars/DefTruth/statistic-learning-R-note.svg?style=social) ![](https://img.shields.io/github/downloads/DefTruth/statistic-learning-R-note/total?color=ccf&label=downloads&logo=github&logoColor=lightgrey) |![](https://img.shields.io/github/stars/DefTruth/cuda-learn-note.svg?style=social) ![](https://img.shields.io/github/issues/DefTruth/cuda-learn-note?color=9cc)| ![](https://img.shields.io/github/stars/DefTruth/Awesome-LLM-Inference.svg?style=social) ![](https://img.shields.io/github/downloads/DefTruth/Awesome-LLM-Inference/total?color=ccf&label=downloads&logo=github&logoColor=lightgrey)|
+
 ## 0x00 前言
 前段时间参加了一些**LLM AI Infra**面试，基本都要手撕**CUDA**⚡️，于是整体复习了一下**CUDA**优化相关的内容，也整理了一些高频题的基本写法。笔记分享在这里，不定期更新。关于**LLM AI Infra**，也推荐我整理的: 📖[Awesome-LLM-Inference](https://github.com/DefTruth/Awesome-LLM-Inference) ![](https://img.shields.io/github/stars/DefTruth/Awesome-LLM-Inference.svg?style=social)