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<title>十派的玩具箱</title>
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    十派的玩具箱
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    “能做成的事情是不少的”
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    <article class="post">
      <a href="https://meredith2328.github.io/post/10pi/">
        <h2 class="post-title">十派的玩具箱有哪些内容？</h2>
      </a>
      <div class="post-info">
        <span>
          2024-08-30
        </span>
        <span>
          3 min read
        </span>

          <a href="https://meredith2328.github.io/tag/L5ZsOZdAJn/" class="post-tag">
            # 数据结构与算法
          </a>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

          <a href="https://meredith2328.github.io/tag/22ye_mNQZjz/" class="post-tag">
            # 奇怪的东西
          </a>

          <a href="https://meredith2328.github.io/tag/SdawTYdzv1s/" class="post-tag">
            # CS61A
          </a>

          <a href="https://meredith2328.github.io/tag/0qlHOak9pEQ/" class="post-tag">
            # CSAPP
          </a>

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        <a href="https://meredith2328.github.io/post/10pi/" class="post-feature-image" style="background-image: url('https://meredith2328.github.io/post-images/10pi.jpg')">
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      <div class="post-abstract">

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/softmax/">
        <h2 class="post-title">从原始Softmax到在线Softmax</h2>
      </a>
      <div class="post-info">
        <span>
          2026-04-09
        </span>
        <span>
          20 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>撰写了原始的softmax、数值稳定的softmax、在线softmax的公式及其简单代码呈现。</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/fudan-mlsys-cn/">
        <h2 class="post-title">给机器学习系统课程做了一下中文翻译</h2>
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      <div class="post-info">
        <span>
          2026-03-25
        </span>
        <span>
          1 min read
        </span>

      </div>

      <div class="post-abstract">
        <p>在线阅读： <a href="https://meredith2328.github.io/fudan-mlsys-cn/">MLSys 中文翻译</a><br>
搞到网页上方便阅读。</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/LLMestimate2/">
        <h2 class="post-title">怎么估算LLM训练的内存和计算需求？推一推、测一测</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-12
        </span>
        <span>
          22 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>本部分适合于知道AdamW更新流程、但没有尝试推导过peak memory和计算量、计算时间的朋友。<br>
省流：<br>
A_{per_layer} ≈ 9BLd + 2BhL^2<br>
C ≈ 6 × P × D</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/optimizer/">
        <h2 class="post-title">从SGD到AdamW，优化器怎么发展过来的？</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-11
        </span>
        <span>
          14 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>Adam = Momentum + RMSProp</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/CS336-hw1-2/">
        <h2 class="post-title">CS336 Assignment 1 后半段记录：实验</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-10
        </span>
        <span>
          14 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>已经搭建起了训练循环，接下来做一些实验。训得有多快？有多好？</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/CS336-hw1-1/">
        <h2 class="post-title">CS336 Assignment 1 前半段记录：架构</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-10
        </span>
        <span>
          52 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>从分词开始，搭建起Transformer架构。</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/linux-command/">
        <h2 class="post-title">值得顺便掌握一下的那些linux指令</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-10
        </span>
        <span>
          13 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>命令行能够即时地做很多事情，甚至代表一种简洁而切题的计算机哲学。<br>
为了直接进入正题，省略诸如 <code>cd</code> 这样的广为人知的基础指令，直接看那些显著提升体验的东西。</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/wandb/">
        <h2 class="post-title">WanDB基础使用教程总结</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-08
        </span>
        <span>
          12 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>WanDB是一个python库/日志托管平台，帮我们详细记录并整理了训练过程中的各种参数和指标变化，<br>
省去了需要自己<strong>详细记录日志</strong>、<strong>绘制图表</strong>的麻烦，并且可以做<strong>超参数搜索</strong>等进阶用法。</p>

      </div>
    </article>

    <article class="post">
      <a href="https://meredith2328.github.io/post/LLMestimate/">
        <h2 class="post-title">怎么估算LLM的参数量和训练FLOPs？推一推、测一测</h2>
      </a>
      <div class="post-info">
        <span>
          2026-03-03
        </span>
        <span>
          17 min read
        </span>

          <a href="https://meredith2328.github.io/tag/FOnN2uDcuG/" class="post-tag">
            # CS相关
          </a>

      </div>

      <div class="post-abstract">
        <p>本Blog适合于知道 Transformer 基础结构、但没有尝试推导过参数量和FLOPs的朋友。<br>
省流：P ≈ 12Nd^2 + Vd</p>

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    </article>

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