The Cost of Training NLP Models: A Concise Overview

Or Sharir, Barak Peleg, Yoav Shoham

arXiv (Cornell University) · 2020 · 115 citations · 7 references

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Open access

Concepts

Abstract

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).

References

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