Glossary

Denoising Score Matching (DSM) is a foundational technique in generative modeling.

Differential privacy is a mathematical framework that protects individual data.

Diffusion models are generative machine learning models that create data.

Diffusion Probabilistic Models (DPMs) are a class of generative models that use a probabilistic.

A Diffusion Sampler is a critical component in diffusion-based generative models.

Digital Twin AI is a technology that creates a virtual model of a physical object.

DreamBooth is a fine-tuning method developed by researchers at Google Research.

Dynamic provisioning in cloud computing and data centers refers to the automated process of allocating and managing storage.