Generative Models (2016)

OpenAI's 2016 blog post introduces generative models, which learn the underlying probability distribution of training data to generate new samples. It contrasts these with discriminative models, explains key types like GANs and VAEs, and highlights their potential for unsupervised learning, creativity, and AI advancement.