chunks.push(value);
这个模型并不像其他 AI 巨头那样「刷分」,而是朝着小型化、端侧化、低延迟的方向做了极致优化,将视觉处理所需的 Token 降到传统 ViT 的 1/16,极大降低延迟,可以根据摄像头捕捉到的内容实时给出判断,反应速度非常快。
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Each route has to be registered into a mapping that ultimately resolves to a function that gets executed. Since we had hundreds of APIs that needed to be supported, this meant a significant amount of boilerplate code would need to be written. Luckily, we already had experience using code-gen on Towerborne.