<?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>ALiBi on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/alibi/</link><description>Recent content in ALiBi on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Tue, 30 Jun 2026 09:20:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/alibi/index.xml" rel="self" type="application/rss+xml"/><item><title>长上下文技术演进：从位置编码到环形注意力</title><link>https://guijiagi.com/posts/long-context-techniques-2026/</link><pubDate>Tue, 30 Jun 2026 09:20:00 +0800</pubDate><guid>https://guijiagi.com/posts/long-context-techniques-2026/</guid><description>系统梳理大模型长上下文处理技术的演进历程，从位置编码方案到环形注意力机制</description></item><item><title>位置编码深度对比：RoPE vs ALiBi vs NoPE 实测分析</title><link>https://guijiagi.com/posts/positional-encoding-comparison/</link><pubDate>Sun, 28 Jun 2026 11:02:00 +0800</pubDate><guid>https://guijiagi.com/posts/positional-encoding-comparison/</guid><description>深入对比RoPE旋转位置编码、ALiBi线性偏置、NoPE无位置编码三种方案的数学原理、长文本外推能力与实测性能</description></item><item><title>位置编码深度解析：从绝对位置到 RoPE 与 ALiBi</title><link>https://guijiagi.com/posts/positional-encoding/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/positional-encoding/</guid><description>系统梳理 Transformer 位置编码的演进历程，深入分析 Sinusoidal、Learned、Relative、RoPE、ALiBi 等方案的数学原理与工程实现。</description></item><item><title>位置编码全解：绝对/相对/RoPE/ALiBi</title><link>https://guijiagi.com/posts/positional-encoding-guide/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/positional-encoding-guide/</guid><description>系统解析 Transformer 位置编码的演进脉络与长度外推技术</description></item></channel></rss>