arXiv:2407.21075v2 Announce Type: replace
Abstract: We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These models are designed to perform a wide range of tasks efficiently, accurately, and responsibly. This report describes the model architecture, the data used to train the model, the training process, how the models are optimized for inference, and the evaluation results. We highlight our focus on Responsible AI and how the principles are applied throughout the model development.
Unburdening healthcare systems through telenursing in chronic respiratory disease management: a systematic review
Background/objectivesChronic respiratory diseases represent a major cause of morbidity/mortality and healthcare expenditure due to disease exacerbations, emergency department (ED) presentations, hospitalizations, and length of stay