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.
Раскрыты подробности похищения ребенка в Смоленске09:27
«НАТО возвращается к истокам». Почему США не пригласили Украину на саммит Альянса и чего Вашингтон добивается от союзников?22 февраля 2026，更多细节参见heLLoword翻译官方下载
Flutter 让这一切变得格外轻松——一套代码库，覆盖所有平台：iOS、Android、Web 和桌面。如果你想更进一步，flutter_gemma 是开源的，我们始终欢迎贡献者。
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可这份纯粹的快乐并未持续太久，日复一日的消遣渐渐变得乏味，人生仿佛突然失去了目标。
关注 少数派小红书，感受精彩数字生活 🍃。关于这个话题，搜狗输入法2026提供了深入分析