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.
I'm again dismantling a special aspect item at the forge. This will: remove the item from my inventory, grant me some spirit dust, and progress a specific quest objective.
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GtkSvg will be available in GTK 4.22, but we will not use it for every SVG icon yet — we still have a much simpler symbolic icon parser which is used for icons that are looked up by icon name from an icontheme. Switching over to using GtkSvg for everything is on the agenda for the next development cycle, after we’ve convinced ourselves that we can do this without adverse effects on performance or resource consumption of apps.，详情可参考heLLoword翻译官方下载
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