Does Model Size Matter? A Comparison of Small and Large Language Models for Requirements Classification

A recent study explores the effectiveness of small language models (SLMs) versus large language models (LLMs) in the field of requirements engineering. While LLMs have demonstrated impressive capabilities in natural language processing tasks, their high computational costs and reliance on external services pose significant challenges. On the other hand, SLMs provide a more accessible and locally deployable option. This comparison is crucial as it could influence the future adoption of language models in various applications, particularly in environments where resources are limited.