学习路线图 - CS自学指南 #745
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Replies: 32 comments 17 replies
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前排支持，大模型终于来了 |
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哈哈感谢支持，平时太忙总算抽空整理了一下 |
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等考完研了再继续学习！ |
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给作者打 call！之前研究 mlsys 的时候有幸接触了 distserve，很棒的工作！ |
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另外对 diffusion 分支的生成模型，还推荐 CS236，由浅入深，讲得非常透彻 |
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谢谢diffusion model的推荐-from the same school |
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前排支持喵 |
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学长请问您现在研究的具体方向是什么，如果准备进 MLSys 有关的组，老师会希望具有哪些基本能力才能上手干活呢🥺 |
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可以看我主页。上手干活最重要的应该是自学能力，边干边学效率最高。 |
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请问，像找一份AI算法工程师的工作，需要学习什么内容呢？ |
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首先学历的门槛得能达到！ |
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是不是分应用和研究方向 |
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DAY1打卡 |
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感谢大佬 |
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感谢学长，一场及时雨！！！ |
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感谢老哥，这几天入门，看了huggingface的llm course，今晚无意间点开自学指南结果发现更新了大模型，谁懂这种点开网页眼前一亮的感觉哈哈哈哈哈 |
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居然更新了诶！您的自学指南真是非常有帮助！我不是学计算机的，但是我在努力打造自己的CS学习规划路线，谢谢您😊 |
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CMU 11868: Large Language Model Systems和MIT6.5940: TinyML and Efficient Deep Learning Computing，学习底层系统优化的话，这两个课程选哪个呢 |
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太赞了😇😇😇暑假正想上手学llm 支持😻 |
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作为一个已经工作7年几乎要成为一个文字工作者的打工人，非常感谢作者的工作，非常有价值！ |
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6.S978有视频吗？没有视频的话如何自学？ |
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感觉这些课程的视频资源不太好找 |
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同问，视频资源在哪能找到啊 |
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推薦李宏毅老師今年的ML 2025，李老師今年把課件完全更新，完全朝向大語言模型的方向，十份作業也設計得很用心: https://speech.ee.ntu.edu.tw/~hylee/ml/2025-spring.php |
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请问下这门课的作业和答案要怎么找到 |
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有没有关于多模态的课程啊 |
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没有显卡资源，太难受了 |
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請問相關工作面試第一關一定是先看學歷嗎? |
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想问必备的前置知识有哪些？ |
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各位前辈们好，本人从ee本考到cs硕，现在研一，课题组在做一些llms相关项目。本科期间缺少对cs的系统学习，代码水平也蛮差的，需要先对照前面课程系统学习后，再学习大模型相关课程吗？谢谢诸位前辈解答！ |
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边搞边学 |
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干中学 |
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什么学历能做大模型 |
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提供几个样本点：
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双非本顶2硕研一，导师做ai的，这个学历能往什么方向发展，不读博，想要就业。有点迷茫 |
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苏大硕想做ai方向可以吗 |
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双非本顶2 硕，导师做ai的，这个学历能往什么方向发展，不读博想要就业。 |
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请问大佬们学这些课需要什么前置课程呢 |
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数学基础：微积分/概率论/线代 |
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当然可以，但是做算法是不是不太行
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| 发件人 | ***@***.***> |
| 日期 | 2025年10月14日 11:49 |
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| 主题 | Re: [PKUFlyingPig/cs-self-learning] 学习路线图 - CS自学指南 (Discussion #745) |
苏大硕想做ai方向可以吗
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太棒了 |
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真的非常感谢大佬们的持续更新。 |
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强烈推荐Stanford CS336，想学大模型，学完这门课基础就非常扎实了。 |
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都没有recording吗 |
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感谢作者救我狗命:D，学校的ML课听不明白全靠大佬救命。顺便想问一下佬接不接受单线求助。 |
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cs294-158没有阅读材料吗 |
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学习路线图 - CS自学指南
CS自学指南
https://csdiy.wiki/%E6%B7%B1%E5%BA%A6%E7%94%9F%E6%88%90%E6%A8%A1%E5%9E%8B/roadmap/
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