<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Jenny Ma</title><description>关于 AI Infra、Agent、机器学习实验与工程实践的技术笔记。</description><link>https://jennyma11.github.io/</link><language>zh-cn</language><item><title>投机解码的五条路线：从小模型到 Prompt Lookup</title><link>https://jennyma11.github.io/blog/speculative-decoding-methods/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/speculative-decoding-methods/</guid><description>用结构图拆解 Draft Model、MTP、EAGLE、Medusa 与 N-gram：候选如何产生、如何验证，以及什么时候值得用。</description><pubDate>Wed, 23 Sep 2026 00:00:00 GMT</pubDate><category>AI Infra</category><category>LLM Inference</category><category>Speculative Decoding</category></item><item><title>Attention is All You Need: A Deep Dive</title><link>https://jennyma11.github.io/blog/attention-is-all-you-need-explained/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/attention-is-all-you-need-explained/</guid><description>深入解析 Transformer 架构的开创性论文，理解 Self-Attention 如何革新了 Deep Learning。</description><pubDate>Mon, 18 May 2026 00:00:00 GMT</pubDate><category>Transformer</category><category>Deep Learning</category><category>NLP</category><category>Paper Review</category></item><item><title>Transformer Positional Encoding Explained</title><link>https://jennyma11.github.io/blog/transformer-positional-encoding/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/transformer-positional-encoding/</guid><description>理解 Transformer 如何通过 Positional Encoding 注入序列顺序信息，以及正弦函数设计的巧妙之处。</description><pubDate>Fri, 15 May 2026 00:00:00 GMT</pubDate><category>Transformer</category><category>Positional Encoding</category><category>Deep Learning</category></item><item><title>Multi-Head Attention: An Intuitive Guide</title><link>https://jennyma11.github.io/blog/multi-head-attention-intuition/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/multi-head-attention-intuition/</guid><description>从直觉到实现，理解为什么 Transformer 需要多个 Attention Head，以及它们各自在学习什么。</description><pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate><category>Transformer</category><category>Attention</category><category>Deep Learning</category></item><item><title>Building a Durable Writing System</title><link>https://jennyma11.github.io/blog/building-a-durable-writing-system/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/building-a-durable-writing-system/</guid><description>一种轻量级的方法，让技术笔记在第一周之后仍然有用。</description><pubDate>Fri, 01 May 2026 00:00:00 GMT</pubDate><category>Writing</category><category>System</category><category>Productivity</category></item><item><title>Astro Content Collections as Personal CMS</title><link>https://jennyma11.github.io/blog/astro-content-collections-notes/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/astro-content-collections-notes/</guid><description>为什么类型化的 Frontmatter 对于专注的个人发布工作流来说已经足够。</description><pubDate>Sat, 18 Apr 2026 00:00:00 GMT</pubDate><category>Astro</category><category>MDX</category><category>Content</category></item><item><title>ML Experiment Logging Notes</title><link>https://jennyma11.github.io/blog/machine-learning-experiment-logs/</link><guid isPermaLink="true">https://jennyma11.github.io/blog/machine-learning-experiment-logs/</guid><description>一种紧凑的结构，使实验更容易在以后比较。</description><pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate><category>Machine Learning</category><category>Research</category><category>System</category></item></channel></rss>