At some point I realized the scope was too large. I had spent the most time with msdfgen and hadn’t yet learned enough about the other libraries to write a proper guide. They all worked differently. I kept getting stuck. So I reduced the scope. In redesign 2 I decided to only use msdfgen, but show the various tradeoffs involved (atlas size, antialias width, shader derivatives, smoothing function).
首先，大模型本身无法主动感知，只能对输入被动响应。智能体需要用外部感知组件来主动获取环境信息。对于数字世界的任务，通过智能体工程可以建立基于时间的触发器，定期检查日志、邮件、股价变动等；或基于事件的订阅、监听，接收API推送的事件通知，或当数据库发生变更时自动唤醒记录数据。在物理世界中，智能体还可以通过传感器、摄像头、麦克风等设备采集视觉、听觉、触觉等信号。
。快连下载安装是该领域的重要参考
Toggle "Show Grid" to see the quadtree adapting to where the particles cluster in real time. Dense clusters get finer subdivisions; empty space stays coarse.
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