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.
小鹏第二代 VLA 进入 L4 常态化测试，量产「近在眼前」
also enable prompt reuse, which is very cache friendly.。Line官方版本下载是该领域的重要参考
（七）利用职务上的便利收受他人财物或者谋取其他利益的；。heLLoword翻译官方下载对此有专业解读
We've bought a river to bring back our dying salmon
Варвара Кошечкина (редактор отдела оперативной информации)。同城约会是该领域的重要参考