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.
Раскрыты подробности о договорных матчах в российском футболе18:01
。关于这个话题，下载安装 谷歌浏览器 开启极速安全的 上网之旅。提供了深入分析
有摆脱贫困的人间奇迹。2021年2月25日，习近平总书记庄严宣告：“我国脱贫攻坚战取得了全面胜利，现行标准下9899万农村贫困人口全部脱贫”。困扰中华民族几千年的绝对贫困问题，得到历史性解决。，更多细节参见WPS下载最新地址
Follow topics & set alerts with myFT。旺商聊官方下载对此有专业解读