<?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>LLM on Architecting Intelligence</title><link>https://blog.oklensuangoo.uk/tags/llm/</link><description>Recent content in LLM on Architecting Intelligence</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 14 Jun 2026 01:00:00 +0800</lastBuildDate><atom:link href="https://blog.oklensuangoo.uk/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Your KV Cache Remembers the Context You Deleted</title><link>https://blog.oklensuangoo.uk/posts/kv-cache-remembers-deleted-context/</link><pubDate>Sun, 14 Jun 2026 01:00:00 +0800</pubDate><guid>https://blog.oklensuangoo.uk/posts/kv-cache-remembers-deleted-context/</guid><description>Reusing a subset of a KV cache — training-free — is often more accurate than recomputing from the kept text. This post gives the variable that governs it (coverage), the causal mechanism behind it (a downstream-attention trace), and what it means for agent context compression.</description></item></channel></rss>