It’s based on research into deep learning best practices undertaken at Fast.ai, including “out of the box” support for vision, text, tabular, and collab (collaborative filtering) models.

Sort of, anyway. JAX is a deep learning framework that is built, maintained, and used by Google, but it isn’t officially a Google product.

However, it’s quite conceivable that newer deep learning applications will increasingly be written and deployed with PyTorch. TensorFlow is not all about Python TensorFlow isn’t dead.