<?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>Tool Call AI on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/tool-call-ai/</link><description>Recent content in Tool Call AI 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, 05 Oct 2026 03:21:34 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/tool-call-ai/index.xml" rel="self" type="application/rss+xml"/><item><title>ローカルLLM用GPUの選び方：Qwen3.8-27BをVRAM24GBで快適に動かすための最適解</title><link>https://ai.negi-lab.com/posts/qwen-27b-humanlike-gpu-selection-guide/</link><pubDate>Mon, 05 Oct 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/qwen-27b-humanlike-gpu-selection-guide/</guid><description>Qwen3.8-27B-Humanlike-Chat 2.0は、RTX 3090/4090（VRAM 24GB）1枚で「賢さ」と「速度」を両立できる現状の...</description></item></channel></rss>