Жильцы одного из домов Москвы пожаловались на зловонную квартиру-свалку, заваленную мусором и телами животных. Внимание на ситуацию обратил Telegram-канал «Что там, Москва?».
First I mapped all that I could recall from memory, pancakes, crepes, waffles, scrambled eggs, popovers, omelettes, and on and on, scouring my brain for every fast I had ever broken. The beginnings of the contours of breakfast began to reveal themselves. A gaping hole stared back at me, but I couldn’t yet be sure. I had to search the dark corners of the world to see if somewhere in far off lands that abyss had yet been filled. I called upon friendly ghosts. I paged through ancient tomes. I added kaiserschmarrn, swedish pancakes, dan bing, madeleines, crumpets, clafoutis, blinis, pannu kakku, parathas, nalesniki. The map filled in bit by bit, but it was no use. The gap in the fabric of breakfast remained.
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But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.
a16z的一位合伙人认为,这道门正在换人把守。,推荐阅读爱思助手下载最新版本获取更多信息
fork() → Launcher (Single-threaded, Poll Loop),更多细节参见服务器推荐
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