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.
Цены на нефть взлетели до максимума за полгода17:55
（四）加强对第三方供应链单位以及参与网络运维重要岗位人员的管理，采取必要措施加强网络和数据安全监测预警；，详情可参考51吃瓜
7月16日——杭州自来水污染事件
，更多细节参见旺商聊官方下载
for (let i = n - 1; i = 0; i--) {
NHS to review prostate cancer testing after Chris Hoy call for change，这一点在同城约会中也有详细论述