<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPT on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/gpt/</link><description>Recent content in GPT on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Fri, 09 Jan 2026 13:50:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/gpt/index.xml" rel="self" type="application/rss+xml"/><item><title>2026 大模型全景：主力模型横评与选型指南</title><link>https://socake.github.io/posts/llm-landscape-2025/</link><pubDate>Fri, 09 Jan 2026 13:50:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/llm-landscape-2025/</guid><description>GPT-5.4、Claude Opus 4.6、Gemini 2.5 Pro、Llama 4 Scout、DeepSeek V3.2——2026年4月的大模型格局已经和一年前完全不同。本文从工程师视角梳理当前主力模型的真实规格与适用边界，给出场景化选型矩阵，并讨论开源追平闭源、推理模型标配化、agent workload 崛起这三个2026年的核心判断。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/llm-landscape-2025/featured.jpg"/></item></channel></rss>