transformer-based models

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.

How does DALL·E 2 handle the generation of images with specific compositions or visual arrangements?

DALL·E 2 uses a powerful combination of transformer-based models and unsupervised learning to generate images with specific compositions or visual…

8 months ago

How does DALL·E 2 handle the generation of images with varying levels of abstraction?

DALL·E 2 utilizes a neural network architecture that can generate images with varying levels of abstraction by leveraging transformer-based models.…

8 months ago

What are the training data and techniques used for training DALL·E 2?

The training data for training DALL·E 2 consists of a diverse range of images and text descriptions to teach the…

8 months ago