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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On Wednesday, Seth Meyers joined their ranks, using his deep dive "A Closer Look" segment to summarise the U.S. president's speech in the Capitol, delivered on Tuesday amid consistently poor approval ratings. The Late Night host mocked the record-breaking length of Trump's speech and his "tantrum" when attending Democrats didn't stand to applaud him — this happened specifically when Trump proposed to bar states from allowing teen gender transition treatment without parental consent.,更多细节参见旺商聊官方下载
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