Угрозу применения ядерного оружия в конфликте вокруг Ирана оценили14:57
Что думаешь? Оцени!
再一次创业，他希望可以“正规”一点——像字节跳动那样，有一些商业数据来证明自己。目前看来，肖弘没让他失望，他也成全了肖弘的又一次成功。。Line官方版本下载对此有专业解读
FT Edit: Access on iOS and web。电影是该领域的重要参考
Трамп высказался о непростом решении по Ирану09:14，更多细节参见快连官网
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.