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.
Алиса Дмитриева (Редактор отдела «Из жизни»)
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Армия обороны Израиля начала масштабную серию ударов по Ирану02:17
第六十条 经证明，货物的灭失、损坏或者迟延交付是由于承运人的故意或者明知可能造成损失而轻率地作为或者不作为造成的，承运人不得援用本法第五十七条或者第五十八条限制赔偿责任的规定。
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春节期间，下沉市场的零食消费再次被推到舞台中央。
Пьяный турист нанес тяжелую травму участвовавшей в Олимпиаде сноубордистке20:38。业内人士推荐51吃瓜作为进阶阅读