Even without publicising Murray's involvement in the show, the week-long run had almost entirely sold out ahead of the curtain rising on Tuesday.
«Дважды умер за свою страну»В интернете ежегодно хоронят одного и того же человека. Что за этим стоит?10 декабря 2022
。im钱包官方下载是该领域的重要参考
Мощный удар Израиля по Ирану попал на видео09:41。业内人士推荐搜狗输入法下载作为进阶阅读
Essential digital access to quality FT journalism on any device. Pay a year upfront and save 20%.。WPS官方版本下载对此有专业解读
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.