Are there ML models that are trained while being used? Humans learn as we go along, but this "train and deploy" that's so common doesn't seem sustainable.
If it can't be done online, then it shouldn't be that difficult to save the output for each week and then finetune the production model on that each weekend, right? Especially if there are humans correcting the faulty or uncertain outputs.
If it can't be done online, then it shouldn't be that difficult to save the output for each week and then finetune the production model on that each weekend, right? Especially if there are humans correcting the faulty or uncertain outputs.