👉 In the context of artificial intelligence, "debagged" is a term used to describe how a machine learning model can be made more flexible and efficient by breaking down complex data into smaller, more manageable pieces. This process involves removing redundant features or attributes from the input data so that each piece can contribute equally to the final output. In simpler terms, when you're dealing with a large dataset of text, images, or other types of input data, it's often hard to understand how much information
