Generalization and Processing

Mohamed discusses how models can generalize during training and processing at test time, emphasizing the importance of system one and system two processing in understanding model behavior. He highlights the nature of perceptual tasks and the intriguing process of going from scratch to generalization, shedding light on optimizing for more effective generalization strategies.