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This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
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习题链接:LeetCode 901. 股票价格跨度
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本书凡十五“记”,除《神龙记》《越中记》两篇以群像手法写神龙元年的“珠英学士”诗人群和大历年间的南方诗人群外,其余各篇,分别聚焦于王勃、杨炯、骆宾王、陈子昂、宋之问、李白、杜甫、元稹、白居易、李绅、韩愈、孟郊、李贺。诗人们前后相续的活动时间,基本上涵盖文学史的初唐、盛唐和中晚唐,读者自可把它读作一部以人物结构的唐诗小史。
MIT — Rikkert ten Klooster。关于这个话题,雷电模拟器官方版本下载提供了深入分析