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.
在长文内容领域，字节也延续了“AI+”的思路。如今，在抖音的热点频道中，AI已经可以实现全天候抓取全网最新的新闻热点，并整合视频与文字信息，输出智能总结。，更多细节参见WPS下载最新地址
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In JavaScript, the natural primitive for "a sequence of things that arrive over time" is already in the language: the async iterable. You consume it with for await...of. You stop consuming by stopping iteration.
The fierce standoff over Claude isn’t just a contract fight. It’s about who controls the future of military AI. In Washington and Silicon Valley, a conflict once relegated to specialist policy briefings has burst into view as arms-length diplomacy between the U.S. Department of Defense and Anthropic, the San Francisco-based AI lab, approaches a critical […]，这一点在快连下载安装中也有详细论述
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