Transformer-based models are machine learning models that use transformer architecture to handle tasks like language processing. They are known for their efficiency in managing large amounts of data.
DALL·E 2 uses a powerful combination of transformer-based models and unsupervised learning to generate images with specific compositions or visual…
DALL·E 2 utilizes a neural network architecture that can generate images with varying levels of abstraction by leveraging transformer-based models.…
The training data for training DALL·E 2 consists of a diverse range of images and text descriptions to teach the…