<?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>JSON圧縮 on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/json%E5%9C%A7%E7%B8%AE/</link><description>Recent content in JSON圧縮 on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Mon, 19 Oct 2026 21:32:51 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/json%E5%9C%A7%E7%B8%AE/index.xml" rel="self" type="application/rss+xml"/><item><title>headroom 使い方 トークン消費を最大95%削減するLLM圧縮プロキシの実力</title><link>https://ai.negi-lab.com/posts/headroom-llm-token-compression-guide/</link><pubDate>Mon, 19 Oct 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/headroom-llm-token-compression-guide/</guid><description>JSONやログ、RAGのチャンクなど「LLMに渡す前のデータ」を構造を保ったまま圧縮し、トークン消費を20%〜95%削減する。。単なる文字数削減ではなく、...</description></item></channel></rss>