framework

FrugalML

An earlier research framework for choosing among paid machine-learning prediction APIs to cut cost while holding accuracy, designed for classification tasks with fixed label sets.

Current clusters

build1 publisher

FrugalGPT fits a fresh triage rule for every dataset and task it is tested on

The paper reports matching GPT-4 with up to 98 percent less spend. The saving rests on a 150x spread in prompt prices between providers and on a triage rule fitted separately per dataset and task.

Publishers:arxiv.org

Reality

Evidence55
Adoption: Insufficient
Hype gap+30
Incentives60
Confidence55