DALL-E is a neural network-based model that takes text inputs and translates them into corresponding images. It utilizes transformer architecture to understand language and image data, allowing it to create visuals based on textual descriptions, such as "a two-headed flamingo riding a bicycle." By transforming words into images, DALL-E showcases the intersection of language processing and computer vision, demonstrating the capability of models to synthesize creative visuals from abstract concepts.