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How Do You Approach a Portfolio of Neural Networks?
Most of the things that we have taken to production the last year or so are all relatively simple. Can be anything from lik bm exibus and some other regression models, for instance. Now we're slowly moving towards more advanced aso looking at the graft neural networks in our latest modelling. So it is a relatively wide range. We have experts in all these areas. We have optomy station experts as well in some of our use cases. But we try to keep it as simple as possible, but we're not 100 percent there yet.