We review the cost of training large-scale language models, and the drivers of these costs.
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).
