arXiv (Cornell University) · 2020 · 115 citations · 7 references
ComputingComputer ScienceComputational LinguisticsMachine LearningNatural Language ProcessingLanguage ModelingLanguage ModelsNatural Language UnderstandingLanguage Model PretrainingLarge Language ModelsLarge-scale Natural Language ProcessingNeural Language Models
We review the cost of training large-scale language models, and the drivers of these costs. The intended audience includes engineers and scientists budgeting their model-training experiments, as well as non-practitioners trying to make sense of the economics of modern-day Natural Language Processing (NLP).
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