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.
Harpreet Matharu。业内人士推荐旺商聊官方下载作为进阶阅读
“빚 좋은 개살구”…고소영, 결국 눈물 터졌다，更多细节参见51吃瓜
第三十七条 爆炸性、毒害性、放射性、腐蚀性物质或者传染病病原体等危险物质被盗、被抢或者丢失，未按规定报告的，处五日以下拘留；故意隐瞒不报的，处五日以上十日以下拘留。