👉 Dumbing is a strategy used in computer science and artificial intelligence to optimize machine learning models by reducing the size of their training data. It involves selecting a subset of the dataset that does not contain any relevant features, thereby allowing the model to learn from the remaining data without having to rely on it for prediction or decision-making. This approach can be particularly useful when dealing with large datasets, as it allows for more efficient and effective use of computational resources.