Фото: Fars Media Corporation / Wikimedia
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.
。WPS官方版本下载是该领域的重要参考
The website you are visiting is protected.。关于这个话题，谷歌浏览器【最新下载地址】提供了深入分析
有意思的是，尽管资本市场已经给出了百亿美元的估值，但杨植麟却表示“短期不着急上市”。月之暗面的“慢”，到底是不得已而为之选择，还是主动的克制？。关于这个话题，爱思助手下载最新版本提供了深入分析