Irwan discusses the importance of using Z loss to manage the training loss explosion in machine learning models. He emphasizes the need for high precision formats like FP 32 when dealing with logits to minimize rounding errors, especially before applying Softmax. Despite employing established techniques, he reveals that additional measures were necessary for their router architecture to ensure accurate token routing.
