Run-time or run-time computing refers to the type of computing in which multiple computing tasks occur simultaneously or at overlapping times. These tasks can be performed by individual computers, specific applications, or across the network. Run-time computing is often used in Big Data environments to process very large data sets. Careful coordination between systems and across Big Data architectures regarding task scheduling, data exchange, and memory assignment is required to operate efficiently and effectively.
PaaS (Platform as a Service) is a cloud computing model that stands for “Platform as a Service”. PaaS provides software developers with a platform needed to develop, test, deploy, and manage applications.
Diffusion Models are models that have recently gained great interest in the field of machine learning and artificial intelligence, especially in image production. Diffusion models work by modeling noise on data to create realistic images.
Self-supervised learning is an approach that aims to solve this problem. This method allows models to learn from unlabeled data and greatly reduces the need for data labeling.
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