[ITmedia ビジネスオンライン] 「物語の自動販売機」登場 “読めていない”層はどこまで動いたのか

· · 来源:tutorial资讯

Снежная и морозная зима не гарантирует избавление от испанских слизней в теплое время года. Вероятность их нашествия на российские огороды оценил руководитель сегмента «Умные цепи» поставок рабочей группы FoodNet (Фуднет) НТИ Сергей Косогор в разговоре с агентством РИА Новости.

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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创造力,在它最巅峰、最纯粹的形态中,是人类全情投入、卓越执行,以及某些时刻运气加持的结晶。,详情可参考im钱包官方下载

The editor, Artem Kaptur, traded in markets related to YouTube and specifically, MrBeast. Kalshi says his transactions were initially flagged because of his "near-perfect trading success on markets with low odds, which were statistically anomalous." Because trades are public on Kalshi, multiple users also flagged the trades as suspicious. Kalshi learned Kaptur was an employee of MrBeast during its investigation and determined he "likely had access to material non-public information connected to his trading." Perhaps unsurprisingly, trading with insider information violates Kalshi's rules.

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