The Sequence Scope: A Model Compression Library You Need to Know About

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📝 Editorial: A Model Compression Library You Need to Know About

The machine learning (ML) space is currently dominated by large models that often have computation requirements impossible for most organizations. Model compression is one of the disciplines that has been targeting that challenge by creating smaller models without sacrificing accuracy. Despite the obvious need, model compression remains a challenge for ML engineering teams as most frameworks in the space are relatively nascent. As a result, you rarely hear about ML engineering pipelines that incorporate model compression as a native building block. Quite the opposite, model compression tends to be one of those things that you only consider once the problem is too big to…