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this post was submitted on 25 Sep 2023
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That could be fun! I’ve made and trained my own models prior but I find that getting the right amount of data (in terms of both size and diversity to ensure features are orthogonal out of the gate) can be pretty tough.
If you don’t get that right balance of size and diversity in your data, that efficacy upper limit is gonna be way lower than you’d like, but you might have some good data sets laying around I got no clue ^_^
Lemmy know how it goes!