当“辞家千里又千里”不可避免，流动固然带来短暂的离别，但也创造新的相遇。从前，年味藏在一家人置办年货的热闹里。如今，萍水相逢的朋友“把好吃的分享给你”，朴素情谊同样能传递浓浓暖意。“友谊牌”年货的走红，让我们看到年轻人对传统年俗的新阐释，更折射其历久弥新的生命力。对团圆的期盼、对美好的向往、对情感的珍视，年味的内核一直都在。
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.
。关于这个话题，旺商聊官方下载提供了深入分析
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