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.
Data virtualization is the reproduction of real data in a virtual environment. In this way, tests, experiments and analyses performed when working with real data can be carried out without compromising the accuracy and security of the real data.
Fine-tuning is the process of optimizing a pre-trained model for a specific task. This method is an important part of the approach known as transfer learning and is widely used in modern artificial intelligence projects.
Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence (AI) function that mimics the way the human brain works to process data and create patterns that facilitate decision-making.
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