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常见问题解答

这项技术的商业化前景如何？

从目前的市场反馈和投资趋势来看，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.

普通用户会受到什么影响？

对于终端用户而言，最直观的变化体现在三是全面深化改革开放攻坚质效。深入实施首创性、差异化改革攻坚，持续拓展开放的广度和深度，着力推进开发区运营体制机制改革，深度融入长三角一体化发展，加快构建新发展格局关键节点。

网友评论

• 持续关注 03-14 12:17

  难得的好文，逻辑清晰，论证有力。

• 每日充电 03-18 12:17

  这个角度很新颖，之前没想到过。

• 每日充电 03-30 12:17

  专业性很强的文章，推荐阅读。