Abstract:Autoregressive decoding is bottlenecked by its sequential nature. Speculative decoding has become a standard way to accelerate inference by using a fast draft model to predict upcoming tokens from a slower target model, and then verifying them in parallel with a single target model forward pass. However, speculative decoding itself relies on a sequential dependence between speculation and verification. We introduce speculative speculative decoding (SSD) to parallelize these operations. While a verification is ongoing, the draft model predicts likely verification outcomes and prepares speculations pre-emptively for them. If the actual verification outcome is then in the predicted set, a speculation can be returned immediately, eliminating drafting overhead entirely. We identify three key challenges presented by speculative speculative decoding, and suggest principled methods to solve each. The result is Saguaro, an optimized SSD algorithm. Our implementation is up to 2x faster than optimized speculative decoding baselines and up to 5x faster than autoregressive decoding with open source inference engines.
북한 권력자들도 머리 염색을 할까-76세 최룡해의 퇴장[청계천 옆 사진관]
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16‑летняя дочь Юлии Пересильд снялась в откровенном образе20:42
中华文明从不固步自封，不断在交流互鉴的过程中汲取力量。通过资源网络分析与科技检测，考古学重塑了曾经跨越山河的和平交流之网。。一键获取谷歌浏览器下载是该领域的重要参考
If the value type is T, why is the state type a union of T | null? More on that in a bit! ↩
First image at proper size and color with the vga666 adapterThe Raspberry Pi 5 with vga666 adapter inside the cabinet，详情可参考同城约会