Training of AI slows down after many rounds because the internal parts of the model stop changing at the same speed. A model, in the beginning, adjusts a lot since its values are very far from the correct output. After many rounds, these updates become smaller and their signals weaker, with the system being more careful. These patterns are clearly observable for professionals in Artificial Intelligence Online Training in India , especially when they run long training cycles o