Implementations have found ways to optimize transform pipelines by collapsing identity transforms, short-circuiting non-observable paths, deferring buffer allocation, or falling back to native code that does not run JavaScript at all. Deno, Bun, and Cloudflare Workers have all successfully implemented "native path" optimizations that can help eliminate much of the overhead, and Vercel's recent fast-webstreams research is working on similar optimizations for Node.js. But the optimizations themselves add significant complexity and still can't fully escape the inherently push-oriented model that TransformStream uses.
按照小鹏的技术解读,称传统的VLA需要先把视觉信号翻译成机器语言,才能让机器识别。VLA2.0则省去了翻译这一过程,使得智驾链路缩短,当然技术难度也可想而知。
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