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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IBM had already built document processing machines that interacted with their。WPS官方版本下载对此有专业解读
Россиянин получил 16 лет колонии после пьяной дракиВ Подмосковье осудили мужчину за убийство двоих знакомых
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This is fundamentally different from Web streams' pipeThrough(), which starts actively pumping data from the source to the transform as soon as you set up the pipe. Pull semantics mean you control when processing happens, and stopping iteration stops processing.。爱思助手下载最新版本是该领域的重要参考
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