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> It puzzles me when people say that small companies can’t retrain every day because they don’t have FAANG-style budgets. It costs a few dollars, at best, to re
by hwers 4y ago
> It puzzles me when people say that small companies can’t retrain every day because they don’t have FAANG-style budgets. It costs a few dollars, at best, to retrain many xgboost or scikit-learn models. Most models are not large language models
So true. This is a pretty easy flag that someone hasn’t actually been down and dirty with trying to train any actual models and doesn’t know what they’re talking about
- latenightcoding 4y agoQuite the opposite. The running time of sklearn's or xgb's training procedure is not the main obstacle to retraining daily (not even close). In some of industries retraining has to go through rigorous manual QA. And you need a solid ML pipeline to begin with.
- feet 4y agoIs there some reason a person could not build multiple iterations with small differences and train them all, then send the best to QA? Does QA have to approve every piece of experimental code?
- deleted 4y ago[deleted]