The core part of it is doing dimensionality reduction with shallow neural networks, but essentially all user-facing functionality we get by controlling the trai

The core part of it is doing dimensionality reduction with shallow neural networks, but essentially all user-facing functionality we get by controlling the training methods and hooking into the neural network and querying it all sorts of ways. We switched from more modern techniques primarily because they needed too much data to work well, but the other things I mentioned are the benefits we noted along the way. I don't know if that answers your question.