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.
Integration is a process that allows different systems, applications or processes to work together in a common structure. With the development of technology, the need for integration processes has increased so that organizations can work more efficiently, harmoniously and quickly.
A Business Continuity Plan (BCP) is a detailed document that shows how a business will continue to operate in the event of an unplanned interruption in service.
Few-shot learning is a technique that enables machine learning models to produce effective results by training them with a very small number of examples. While traditional machine learning methods require large amounts of data to achieve success, few-shot learning eliminates this requirement and provides high performance with little data.
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