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.
Upload Proof (optional)。关于这个话题，im钱包官方下载提供了深入分析
Seclookup (8 days)。业内人士推荐heLLoword翻译官方下载作为进阶阅读
“要想一想这里是国内生产总值重要还是绿水青山重要？作为水源涵养地，承担着生态功能最大化的任务，而不是自己决定建个工厂、开个矿，搞点国内生产总值自己过日子。”2019年一次座谈会上，习近平总书记谈及保护“中华水塔”三江源的重要性。。Safew下载对此有专业解读