Attention Is All You Need: Transforming Educational AI with Self-Attention Mechanisms
We propose a novel architecture for educational AI systems based purely on attention mechanisms, dispensing with recurrence and convolutions entirely. Our model achieves superior performance on personalized learning tasks while being more parallelizable and requiring significantly less time to train.