
handle: 10062/89875
Resource efficiency is a growing concern in the NLP community. But what are the resources we care about and why? How do we measure efficiency in a way that is reliable and relevant? And how do we balance efficiency and other important concerns? Based on a review of the emerging literature on the subject, we discuss different ways of conceptualizing efficiency in terms of product and cost, using a simple case study on fine-tuning and knowledge distillation for illustration. We propose a novel metric of amortized efficiency that is better suited for life cycle analysis than existing metrics.
QC 20241023Shared first authorship
Språkbehandling och datorlingvistik, NoDaLiDa 2023, Natural Language Processing
Språkbehandling och datorlingvistik, NoDaLiDa 2023, Natural Language Processing
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