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活跃在AGI基础研究前沿的技术团队UniPat AI构建了一个极简的视觉智能体框架——SWE-Vision,让模型可以编写并执行Python代码来处理和验证自己的视觉判断。在五个主流视觉基准测试中,SWE-Vision均达到了当前最优水平。
报告日期:2026-02-28 关键词: Agent Skills, MCP, OpenClaw, A2A, Agentic AI, 模块化架构一、谁提出了从 Agent 到 Skills 的转变?1.1 起源:Anthropic 的两步棋Anthropic 在不到 14 个月内连续发布了两个开放标准:Anthropic 工程博客原文:"Building a skill for an agent ...
多模态大模型在代码能力上进步惊人,但在基础视觉任务上却频繁失误。UniPat AI 构建了一个极简的视觉智能体框架 ——SWE-Vision,让模型可以编写并执行 Python ...
When you want to edit an image, there are high-performance applications like Photoshop and GIMP available on PCs, but when you want to edit an image taken with a smartphone, you have to send it to ...
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