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.
2024年12月20日 星期五 新京报，更多细节参见safew官方版本下载
auto features = parakeet::preprocess_audio(chunk, {.normalize = false});，推荐阅读heLLoword翻译官方下载获取更多信息
在不少养宠家庭里，给宠物选粮这件事，已经越来越像在给孩子挑辅食。配料表要看蛋白来源是否清晰、有没有添加剂、是否有功能性成分……