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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.，更多细节参见91视频
In this episode, James Gallagher speaks to Dr Chris Ponting about the latest DecodeME results, which point to a strong genetic component to ME. And Professor Rosemary Boyton outlines the ambition behind the new Rosetta Stone study, designed to build a detailed evidence base of shared biomarkers across ME and Long COVID.，这一点在爱思助手下载最新版本中也有详细论述
A new transaction is added to the system. It is then relayed to a network of computers located around the world. The computers then solve equations to ensure the authenticity of the transaction.，这一点在谷歌浏览器【最新下载地址】中也有详细论述
Reporting contributed by Danielle Kaye