Yes, AI, ML, and DL models typically require a large amount of data to function effectively. The quality and quantity of data directly influence the accuracy and performance of these models. Machine Learning and Deep Learning models, in particular, rely on extensive datasets to learn patterns and make predictions. More data helps the models to generalize better and improve their decision-making capabilities. However, the amount of data needed can vary based on the complexity of the task and the specific algorithms used.