packed data

An approach for storing data more efficiently. Packed data stores data either by using a compressed format or in some other way that allows it to be accessed more efficiently. Packed data minimizes the amount of memory and computation required to access it, leading to faster training and more efficient model inference. Packed data is often used with other techniques, such as data augmentation and regularization, further improving the performance of models.

Practitioners refer to packed data when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.