Caching
Caching is the process of storing frequently used data in a temporary storage area so that it can be accessed more quickly. In data science and artificial intelligence, caching is used to improve the performance of algorithms and models. By caching frequently accessed data, the time required to access the data is reduced, which can significantly improve the speed of computations. Caching can be implemented at various levels, including hardware, software, and network. In machine learning, caching is often used to store the results of intermediate computations, such as the output of a convolutional layer in a neural network, so that they can be reused in subsequent computations. This can significantly reduce the time required to train a model. Caching can also be used to store the results of expensive computations, such as the output of a complex simulation, so that they can be reused without having to re-run the simulation.
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