<?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>视觉 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E8%A7%86%E8%A7%89/</link><description>Recent content in 视觉 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>Thu, 25 Jun 2026 12:00:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E8%A7%86%E8%A7%89/index.xml" rel="self" type="application/rss+xml"/><item><title>多模态大模型选型：GPT-5V vs Gemini vs Qwen-VL vs LLaVA</title><link>https://guijiagi.com/posts/multimodal-model-selection/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multimodal-model-selection/</guid><description>全面对比 2026 年主流多模态大模型：GPT-5o、Gemini 2.0 Pro、LLaVA-1.6、Qwen-VL2、InternVL3 在图像、视频、文档理解上的表现与选型建议。</description></item><item><title>多模态模型评估 2026：视觉/音频/视频全面评测</title><link>https://guijiagi.com/posts/multimodal-eval-2026/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/multimodal-eval-2026/</guid><description>2026 年多模态模型评估全景：视觉、音频、视频理解与跨模态推理</description></item><item><title>视觉语言模型选型：GPT-4V/Gemini/Claude/Qwen-VL 对比</title><link>https://guijiagi.com/posts/vision-language-model-guide/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/vision-language-model-guide/</guid><description>主流视觉语言模型深度对比，涵盖架构原理、OCR/图表/视频理解能力与成本延迟分析</description></item><item><title>视觉语言模型选择指南：从 LLaVA 到 GPT-4V</title><link>https://guijiagi.com/posts/vision-model-selection/</link><pubDate>Wed, 24 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/vision-model-selection/</guid><description>全面解析 VLM 架构演进、主流模型对比、OCR 与视频理解能力、部署成本与选型决策。</description></item></channel></rss>