<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>阿卡林の百合乡</title><link>https://arkalin.fun</link><atom:link href="https://arkalin.fun/rss.xml" rel="self" type="application/rss+xml"/><description>Arkalin's Yuritopia</description><generator>Halo v2.27.0</generator><language>zh-cn</language><image><url>https://arkalin.fun/upload/temp.gif</url><title>阿卡林の百合乡</title><link>https://arkalin.fun</link></image><lastBuildDate>Sat, 7 Nov 2026 06:47:01 GMT</lastBuildDate><item><title><![CDATA[杭百5]]></title><link>https://arkalin.fun/archives/hang-bai-5</link><description><![CDATA[<img src="https://arkalin.fun/plugins/feed/assets/telemetry.gif?title=%E6%9D%AD%E7%99%BE5&amp;url=/archives/hang-bai-5" width="1" height="1" alt="" style="opacity:0;">&lt;/]]></description><guid isPermaLink="false">/archives/hang-bai-5</guid><dc:creator>Arkalin</dc:creator><enclosure url="https://arkalin.fun/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=%2Fupload%2FIMG_4942.jpeg&amp;size=m" type="image/jpeg" length="104245"/><category>在路上</category><pubDate>Thu, 15 Oct 2026 16:42:28 GMT</pubDate></item><item><title><![CDATA[大语言模型对齐学习笔记：从 PPO、DPO 到 GRPO 与 DAPO]]></title><link>https://arkalin.fun/archives/llm-alignment-ppo-dpo-grpo-dapo</link><description><![CDATA[<img src="https://arkalin.fun/plugins/feed/assets/telemetry.gif?title=%E5%A4%A7%E8%AF%AD%E8%A8%80%E6%A8%A1%E5%9E%8B%E5%AF%B9%E9%BD%90%E5%AD%A6%E4%B9%A0%E7%AC%94%E8%AE%B0%EF%BC%9A%E4%BB%8E%20PPO%E3%80%81DPO%20%E5%88%B0%20GRPO%20%E4%B8%8E%20DAPO&amp;url=/archives/llm-alignment-ppo-dpo-grpo-dapo" width="1" height="1" alt="" style="opacity:0;">从优化方法与反馈来源两个维度，梳理 PPO、DPO、ReMax、GRPO、DAPO、DPOP、TDPO、ORPO、SimPO、KTO，以及 RLHF、RLAIF、Constitutional AI，结合公式、例子和时间线澄清常见误区。]]></description><guid isPermaLink="false">/archives/llm-alignment-ppo-dpo-grpo-dapo</guid><dc:creator>Arkalin</dc:creator><category>LLM</category><pubDate>Thu, 15 Oct 2026 11:28:04 GMT</pubDate></item><item><title><![CDATA[Attention Code Lab：手撕 Attention 交互实验室]]></title><link>https://arkalin.fun/archives/attention-code-lab</link><description><![CDATA[<img src="https://arkalin.fun/plugins/feed/assets/telemetry.gif?title=Attention%20Code%20Lab%EF%BC%9A%E6%89%8B%E6%92%95%20Attention%20%E4%BA%A4%E4%BA%92%E5%AE%9E%E9%AA%8C%E5%AE%A4&amp;url=/archives/attention-code-lab" width="1" height="1" alt="" style="opacity:0;">通过可操作的张量、矩阵与代码逐行追踪多头注意力，探索 Q/K/V、因果 Mask、Softmax、形状与内存，并独立实验 LayerNorm。支持在线体验和 HTML 离线使用。]]></description><guid isPermaLink="false">/archives/attention-code-lab</guid><dc:creator>Arkalin</dc:creator><category>LLM</category><pubDate>Thu, 15 Oct 2026 10:35:08 GMT</pubDate></item><item><title><![CDATA[从信息量到 KL 散度：理解熵、交叉熵与大模型训练]]></title><link>https://arkalin.fun/archives/information-entropy-cross-entropy-kl-divergence</link><description><![CDATA[<img src="https://arkalin.fun/plugins/feed/assets/telemetry.gif?title=%E4%BB%8E%E4%BF%A1%E6%81%AF%E9%87%8F%E5%88%B0%20KL%20%E6%95%A3%E5%BA%A6%EF%BC%9A%E7%90%86%E8%A7%A3%E7%86%B5%E3%80%81%E4%BA%A4%E5%8F%89%E7%86%B5%E4%B8%8E%E5%A4%A7%E6%A8%A1%E5%9E%8B%E8%AE%AD%E7%BB%83&amp;url=/archives/information-entropy-cross-entropy-kl-divergence" width="1" height="1" alt="" style="opacity:0;">从猜数字和天气编码理解信息量，串起信息熵、交叉熵与 KL 散度，统一 bits 与 nats 的计算，并联系 GRPO、DAPO 中的 KL 正则化。]]></description><guid isPermaLink="false">/archives/information-entropy-cross-entropy-kl-divergence</guid><dc:creator>Arkalin</dc:creator><category>LLM</category><pubDate>Thu, 15 Oct 2026 10:30:06 GMT</pubDate></item></channel></rss>