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This paper explores the application of large language model architectures to the generation of 15-minute city neighbourhood layouts, demonstrating that GPT-based spatial reasoning can produce mixed-use, walkable urban configurations that meet accessibility and sustainability targets.
Read how GPT-based spatial reasoning produces walkable, mixed-use neighbourhood configurations that meet accessibility and sustainability targets.
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