What are the uses of model compression?

The goal of model compression is to achieve a model that is simplified from the original without significantly diminished accuracy. A simplified model is one that is reduced in size and/or latency from the original. Specifically, a size reduction means that the compressed model has fewer and/or smaller parameters and, thus, uses less RAM when run, which is desirable because it frees up memory for other parts of the application to use.

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