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.
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理一县、兴一省、治一国，政贵有恒。“防止走弯路、翻烧饼”“不要城头变幻大王旗”“不能有临时工的思想”“不要换一届领导就兜底翻”“更不要为了显示所谓政绩去另搞一套”，而是坚强扛起“当代中国共产党人的庄严历史责任”。，推荐阅读PDF资料获取更多信息
Within hours of that announcement, OpenAI said it had struck its own deal with the Pentagon — a move Anthropic has called “mendacious” and the public appears to view similarly. Within 24 hours of the back-to-back announcements, Anthropic’s Claude shot to the top of the free-app rankings on Apple’s U.S. App Store, overtaking ChatGPT. (At the end of January, Claude was outside the top 100, according to Sensor Tower data.)，更多细节参见PDF资料
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