Hello,
When we train a custom translation model using Cloud Translation (or before AutoML), what's the best approach regarding the re-training of those models so they keep up with Google's newest updates? For example, if a custom model was trained 2 years ago, it won't have the latest updates, right? I guess that, in the time of training, it uses the most updated google base model, but then as time passes it will become outdated, is that correct?
Thanks in advance.