Пушков заявил о фатальной ошибке США в санкционной войне с Россией02:40
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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1. 居家适老化改造(防滑地板、扶手、智能监测)
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The researchers employ confidential transaction-level data from a major US wine importer covering October 2018 through March 2022. These data include detailed purchase invoices from foreign suppliers and sales invoices to US distributors. The authors supplement this with Connecticut state price-posting data for distributor-to-retailer transactions and retail price data from e-commerce platform Wine-Searcher. They compare price changes for tariffed wines (still wines at or below 14 percent ABV) with price changes for a control group consisting of sparkling wines and still wines exceeding 14 percent ABV from producers selling only nontariffed products.
HK$565 per month。关于这个话题,搜狗输入法提供了深入分析