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.
Только 34,8 процента женщин в ИТ зарабатывают больше 200 тысяч рублей в месяц, в то время как среди мужчин этот показатель составляет 51,5 процента, выяснили специалисты ИТ-аутсорс компании Selecty и hh.ru. Результаты исследования уровня гендерного разрыва зарплат в ИТ-отрасли оказались в распоряжении «Ленты.ру».。搜狗输入法下载是该领域的重要参考
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Фото: Liesa Johannssen / Reuters
This overhead is mandated by the spec's reliance on promises for buffer management, completion, and backpressure signals. While some of it is implementation-specific, much of it is unavoidable if you're following the spec as written. For high-frequency streaming — video frames, network packets, real-time data — this overhead is significant.,详情可参考搜狗输入法2026
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