Dify 构建 FE 工作流:前端团队可复用 AI 工作流实战

· · 来源:user资讯

在智能汽车产业链中,芯片确实是“心脏”。蔚来坚持自研,展现了其不愿将命运交予他人的决心。在复杂的国际地缘政治背景下,这种“自主可控”的尝试本身就具有战略意义。从换电到芯片,李斌一次次通过资本运作构建护城河,试图用长期的技术投入换取未来的爆发。

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.

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But the watchdog noted the humour was "generated by the humiliation and implied threat of painful, non-consensual penetration of the man".

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