An exploration of diffusion models, detailing how they generate high-quality images from noise, comparing them to previous technologies, and analyzing their utility for startup operations.
GANs use competing neural networks to create realistic data. This guide covers their mechanics, utility in startups, and the technical hurdles founders must navigate.