“心无百姓莫为‘官’”“不求‘官’有多大，但求无愧于民”“党中央制定的政策好不好，要看乡亲们是哭还是笑”……人民至上，始终是习近平总书记为政实践中最鲜明的底色。
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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2026-02-27 00:00:00:03014247110http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142471.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142471.html11921 深圳方方乐趣中英文学校 以教育为桥，以文化为基，培育时代新人
// Pipe a fast source through the transform to a slow sink