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.
平台上线 AI 搜索 功能，用户可通过问答方式快速定位数据资产与血缘路径。同时推出 Copilot Agent 模式，支持多轮对话、上下文理解与任务拆解，可自动调用 DataWorks 内部工具完成数据清洗、建模、调度等操作，实现从“辅助”到“自主执行”的升级。
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Раскрыты подробности похищения ребенка в Смоленске09:27
“我看到的不仅是个体对美好生活的向往，更是普惠培训与个性化需求之间的缺口，这是一个民生问题。”韦军反复思量，“我们不仅要让残障人士有事干，更要让他们干得好，而特色化职业技能培训正是解决问题的金钥匙。”