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.
此前數週，特朗普曾多次威脅，如果伊朗不同意就其核計劃達成新的協議，他將下令採取軍事行動。
，详情可参考heLLoword翻译官方下载
Фото: Iranian Army/WANA (West Asia News Agency) / Handout / Reuters，更多细节参见safew官方版本下载
if you create a new package and suddenly Typst returns to ancient，更多细节参见safew官方版本下载
从设计角度看，EMIB-T不再局限于简单的2.5D互连，而是向3D封装技术Foveros靠拢，使得在更大芯片尺寸下实现高密度集成成为可能，为未来异构计算平台提供灵活封装架构。