In particular, it can be compiled to WebAssembly (a.k.a. WASM), which is what I’ve used for the interactive visualization.
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.
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第一百三十六条 承租人应当提供约定的货物；经出租人同意，可以更换货物。但是，更换的货物对出租人不利的，出租人有权拒绝或者解除合同。
대구 찾은 한동훈 “죽이 되든 밥이 되든 나설것” 재보선 출마 시사
Photograph: Simon Hill