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Huge amounts of ml have nothing to do with ANNs and transformers are ANNs.
by IanCal 1y ago
Huge amounts of ml have nothing to do with ANNs and transformers are ANNs.
- smj-edison 1y agoI stand corrected! What are your go-tos?
- rachofsunshine 1y agoNot the person you're replying to, but there are tons of models that aren't neural networks. Triplebyte used to use random forests [1] to make a decision to pass or fail a candidate given a set of interview scores. There are a bunch of others, though, like naive Bayes [2] or k-nearest-neighbors [3]. These approaches tend to need a lot less of a training set and a lot less compute than neural networks, at the cost of being substantially less complex in their reasoning (but you don't always need complexity). [1] https://en.wikipedia.org/wiki/Random_forest https://en.wikipedia.org/wiki/Random_forest [2] https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Training https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Trainin... [3] https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm