AI Model Architectures

This article explores four powerful generative AI model architectures: GANs, VAEs, ViTs, and SD. It details how each model works, their strengths and weaknesses, and their impact on the broader AI landscape.

Platforms like Midjourney, Dalle-2, Stable Diffusion, and ChatGPT have increased popularity of Generative AI, leading to increased interest in multi-headed and single-headed models, as well as graph models. Multi-modal graph models can handle graph-structured data that includes text, photos, videos, and audio. Graph neural network models can be single-headed or multi-headed, can perform tasks such as node classification and connection prediction, and can use convolutional networks, attention networks, and generative graph models.