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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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Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
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FATHER MOTHER SISTER BROTHER is a collection of three vignettes, each focusing on a family reunion. While these three families aren't related to each other, each story shares similarities, some superficial. Some profound. In my review out of the New York Film Festival, I cheered, "His astoundingly stacked cast boasts Tom Waits, Adam Driver, Mayim Bialik, Charlotte Rampling, Cate Blanchett, Vicky Krieps, Sarah Greene, Indya Moore, and Luka Sabbat. Together, they construct short yet solid stories of three families in moments both mundane and pivotal, creating an absorbing portrait of love that's messy and profound." — K.P.