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.
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中方已于1月6日宣布决定加强两用物项对日本出口管制,此次“点名”具体企业,是将此前禁令转化为精准、可执行的实体管控,以切实维护国家安全与地区和平稳定。根据《开罗宣言》《波茨坦公告》《日本投降书》等具有国际法效力的文件,日本应“完全解除武装”,不得“维持能使其重新武装的产业”。但三菱重工、IHI株式会社、川崎重工等多家日本企业,长期活跃于防卫产业,生产舰船、战斗机、导弹等装备。例如,三菱重工旗下的多家企业参与了日本高超音速武器系统“岛屿防御用高速滑翔弹”的研制;三菱造船株式会社建造的舰船不仅服务于日方在钓鱼岛方向的海上侵权,还为菲律宾海警部门建造用于在南海方向侵权的多功能响应舰,对亚太地区和平稳定构成威胁。中方有关举措正是精准遏制日本发展进攻性军力、坚定维护国际法和战后国际秩序的有力体现。