The battle between the DOW and Anthropic raises two important questions: How will the Trump administration and AI giants work together going forward? And who is Michael, the man who is making decisions on behalf of the biggest AI customer on the planet?
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.
。WPS下载最新地址是该领域的重要参考
Украина впервые пыталась ударить ракетами по региону России в 800 километрах от границыУкраина впервые попыталась ударить ракетами по Чувашии
prevFleetTime = currentTime; // 更新上一个车队的时间为当前时间
近期，Netflix 已正式放弃提高对华纳兄弟的收购报价。