#prog #rust #rustlib #ml #abnormalprogramming
unwrap_or_ai
unwrap_or_ai
Tired of manually handling unwrap() results? Let AI do the heavy lifting!
🤩19🤡2
#prog #ml
Про проблемы с воспроизводимостью в ML с неожиданными источниками.
t.me/partially_unsupervised/273
Про проблемы с воспроизводимостью в ML с неожиданными источниками.
t.me/partially_unsupervised/273
Telegram
partially unsupervised
Когда-то я думал, что ML метрика - это довольно простая функция от двух параметров: обученной модели и тестового датасета. Но это абстракция, конечно, не выдерживает столкновения с реальным миром, а параметров значительно больше.
С локальными факторами справиться…
С локальными факторами справиться…
😢16🤔3👍2
#prog #ml
github.com/perpetual-ml/perpetual
github.com/perpetual-ml/perpetual
PerpetualBooster is a gradient boosting machine (GBM) algorithm that doesn't need hyperparameter optimization unlike other GBMs.
Hyperparameter optimization usually takes 100 iterations with plain GBM algorithms. PerpetualBooster achieves the same accuracy in a single run.Вроде выглядит реальным
❤1
#prog #ml #article
Thoughts on slowing the fuck down
Thoughts on slowing the fuck down
There's a much more important difference between clanker and human. A human is a bottleneck. A human cannot shit out 20,000 lines of code in a few hours. Even if the human creates such booboos at high frequency, there's only so many booboos the human can introduce in a codebase per day. The booboos will compound at a very slow rate. Usually, if the booboo pain gets too big, the human, who hates pain, will spend some time fixing up the booboos. Or the human gets fired and someone else fixes up the booboos. So the pain goes away.
With an orchestrated army of agents, there is no bottleneck, no human pain. These tiny little harmless booboos suddenly compound at a rate that's unsustainable. You have removed yourself from the loop, so you don't even know that all the innocent booboos have formed a monster of a codebase. You only feel the pain when it's too late.
👍12