Exploring how DALL-E 3 uses AI

DALL-E 3 is a remarkable example of the application of generative AI. Developed by OpenAI, DALL-E 3 is specifically an instance of a generative model trained using a variant of the GPT-3 architecture. Here’s a step-by-step breakdown of how DALL-E 3 uses AI:

• Base model: At its foundation, DALL-E 3 utilizes a version of GPT-4 (fourth-generation generative pre-trained transformer) model. GPT-4 is designed to generate coherent and contextually relevant text over long passages, but its architecture has been modified for DALL-E 3 to produce images instead of text.
• Training on images and descriptions: DALL-E 3 has been trained on pairs of natural language descriptions and corresponding images. Over time, it learns the intricate associations between textual descriptions and the vast array of visual features in the images.
• Transforming text to images: Once trained, when given a textual prompt (such as “a two-headed flamingo,”...