<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Architecture on Jeanphilo Blog</title><link>https://shio-chan-dev.github.io/jeanblog/zh/tags/architecture/</link><description>Recent content in Architecture on Jeanphilo Blog</description><generator>Hugo -- 0.159.2</generator><language>zh-cn</language><lastBuildDate>Sun, 25 Jan 2026 20:08:41 +0800</lastBuildDate><atom:link href="https://shio-chan-dev.github.io/jeanblog/zh/tags/architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Attention Is All You Need：Transformer 的核心算法与工程落地</title><link>https://shio-chan-dev.github.io/jeanblog/zh/ai/attention/attention-is-all-you-need/</link><pubDate>Sun, 25 Jan 2026 20:08:41 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/zh/ai/attention/attention-is-all-you-need/</guid><description>从算法抽象、复杂度与工程约束出发，解释 Transformer 如何用注意力替代递归与卷积，并给出可运行示例与选型指南。</description></item><item><title>为什么使用多头注意力机制：能力、稳定性与工程取舍</title><link>https://shio-chan-dev.github.io/jeanblog/zh/ai/attention/why-multi-head-attention/</link><pubDate>Sat, 24 Jan 2026 16:20:59 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/zh/ai/attention/why-multi-head-attention/</guid><description>用 ACERS 框架解释多头注意力的必要性、核心原理与工程场景，并给出最小可运行示例。</description></item><item><title>Transformer 结构描述：从编码器到解码器</title><link>https://shio-chan-dev.github.io/jeanblog/zh/ai/llm/transformer-architecture-overview/</link><pubDate>Sat, 24 Jan 2026 16:18:19 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/zh/ai/llm/transformer-architecture-overview/</guid><description>用 ACERS 框架讲清 Transformer 结构、模块职责与工程场景，并给出最小可运行示例。</description></item><item><title>BLIP 与 BLIP-2 架构和区别：从对齐到生成</title><link>https://shio-chan-dev.github.io/jeanblog/zh/ai/blip/blip-vs-blip2-architecture/</link><pubDate>Sat, 24 Jan 2026 15:35:34 +0800</pubDate><guid>https://shio-chan-dev.github.io/jeanblog/zh/ai/blip/blip-vs-blip2-architecture/</guid><description>用结构化视角解释 BLIP 与 BLIP-2 的训练目标、模块设计与工程差异。</description></item></channel></rss>