Sentences related to the concept of affordable/minimum architecture and its relation to Iranian architecture were provided to this artificial intelligence model to discover patterns based on large-scale data that are based on comparison and elimination through repetition and comparison for accessing conceptual patterns.
DALL-E is an artificial intelligence program developed by OpenAI that can generate unique images from textual descriptions. It is an extension of the GPT language model architecture and employs a combination of deep learning techniques, including GANs (Generative Adversarial Networks) and autoencoders. DALL-E works by taking textual descriptions as input and creating images that match those descriptions. It has been trained on a large dataset of images and their corresponding textual descriptions, using this data to learn how to generate images that align with the provided descriptions (OpenAI 2023).
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