A: The AI model is constantly being trained and learning new things, however the predictions that you see on your data could be slightly outdated. For example, if you train the model to recognize only strawberries, this first model that detects strawberries will go through your data and make predictions. If you then add a new category for blueberries this will create a new AI model that can detect both blueberries and strawberries, but it has not had the time to go and make predictions. So if you navigate to a new frame right away you will see predictions made by the older model that did not know that it is supposed to be detecting blueberries. Leave the project in an accelerated state for some time for the newer model to make its predictions.