Small Language Models for Smart Data Model Classification at the Edge: A Cost-Aware Hybrid Approach
This study evaluates the performance of lightweight open-source language models to resolve an input data entity against its corresponding best fitting SDM representation under resource-constrained conditions and provides significant and valuable insights into model selection, task formulation, and deployment strategies...