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.
Фото: Shatokhina Natalia / news.ru / Globallookpress.com。爱思助手下载最新版本对此有专业解读
2月26日，老牌轴承企业斯凯孚宣布，SKF Vertevo将成为斯凯孚汽车业务在作为一家独立公司时所使用的名称。此项宣布标志着斯凯孚在推进汽车业务分拆上迈出重要一步。按照规划，斯凯孚目标在今年第四季度将SKF Vertevo在纳斯达克斯德哥尔摩证券交易所上市，但该计划仍需董事会提出分拆及上市方案并获得股东会批准。 （界面）。heLLoword翻译官方下载是该领域的重要参考
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