Taxonomy hub encompassing the structural designs, layer configurations, and computational graphs used to construct machine-learning models, including transformer architectures, convolutional networks, recurrent networks, diffusion models, and mixture-of-experts designs. Architecture choices determine model capacity, training efficiency, and deployment characteristics.