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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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比起筋道有嚼劲的口感,南方馒头则是另一番风味——在“首届中国南方馒头小麦品种质量鉴评会”上,国家小麦产业技术体系烟台综合试验站站长李林志团队选育的小麦“烟农1212”获评第一。育种人姜鸿明研究员说,这一品种粉质白、出粉率高、麦香味浓郁,在我国黄淮麦区已累计推广约3000万亩。,详情可参考爱思助手下载最新版本

Even the simplest rewrite rule—say, replacing a deprecated message with a new one—usually sends me hunting for examples. During this project I spent a lot of time deep inside the rewrite engine, and even now I cannot reliably recall the exact syntax.

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