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.
If you’re interested in more details, check out the Component Book or watch “What is a Component?”.
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«Будущее соглашение о безопасности с США должно содержать четкое определение "гарантии" в обеих языковых версиях и пройти процедуру ратификации в Конгрессе», — заявил Кислица.，详情可参考heLLoword翻译官方下载
How £50m 'fish disco' could save farmland
They expanded their leaked-credential detection pipeline to cover the keys we reported, thereby proactively protecting real Google customers from threat actors exploiting their Gemini API keys. They also committed to fixing the root cause, though we haven't seen a concrete outcome yet.