Browse all content tagged with Generative Models
A Deep Belief Network (DBN) is a sophisticated generative model utilizing deep architectures and Restricted Boltzmann Machines (RBMs) to learn hierarchical data representations for both supervised and unsupervised tasks, such as image and speech recognition.
Fréchet Inception Distance (FID) is a metric used to evaluate the quality of images produced by generative models, particularly GANs. FID compares the distribution of generated images to real images, providing a more holistic measure of image quality and diversity.
Retrieval Augmented Generation (RAG) is an advanced AI framework that combines traditional information retrieval systems with generative large language models (LLMs), enabling AI to generate text that is more accurate, current, and contextually relevant by integrating external knowledge.
