* @param arr 待排序数组
1L decoder, d=2, 5h (MQA), hd=2, ff=4
，详情可参考同城约会
历经多轮市场周期洗礼，稳居头部的酒店集团正在构建难以复制的竞争壁垒。以华住为例，其供应链优势与会员体系形成双重护城河。在成本控制层面，投资人可依托“华住易购”平台实现透明比价与降价退差；模块化设计大幅压缩新店开业周期，部分项目工期缩短可达五成；集中采购核心物资如床品、智能客控系统等，较加盟商单独采购成本降低15%-28%。
Many people reading this will call bullshit on the performance improvement metrics, and honestly, fair. I too thought the agents would stumble in hilarious ways trying, but they did not. To demonstrate that I am not bullshitting, I also decided to release a more simple Rust-with-Python-bindings project today: nndex, an in-memory vector “store” that is designed to retrieve the exact nearest neighbors as fast as possible (and has fast approximate NN too), and is now available open-sourced on GitHub. This leverages the dot product which is one of the simplest matrix ops and is therefore heavily optimized by existing libraries such as Python’s numpy…and yet after a few optimization passes, it tied numpy even though numpy leverages BLAS libraries for maximum mathematical performance. Naturally, I instructed Opus to also add support for BLAS with more optimization passes and it now is 1-5x numpy’s speed in the single-query case and much faster with batch prediction. 3 It’s so fast that even though I also added GPU support for testing, it’s mostly ineffective below 100k rows due to the GPU dispatch overhead being greater than the actual retrieval speed.
On the streaming side, he is looking to add HBO Max's roughly 120 million streaming customers to Paramount's 79 million.