# Tear down when done
В Финляндии предупредили об опасном шаге ЕС против России09:28
。关于这个话题，safew官方版本下载提供了深入分析
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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据《卫报》澳大利亚版报道，纳维德·阿克拉姆在袭击前从事砌砖工作。他的同事表示，纳维德性格古怪，“没人和他亲近”。“（砌砖工人）在一起的时间很长，因为砌砖是一项非常枯燥乏味的工作，所以大家会聊很多话。但纳维德是一个性格很古怪的人……他工作非常努力，几乎没有休息日。”