Small language models vs large language models in enterprise artificial intelligence
The article argues that most business workflows benefit more from small, domain-specific language models than from massive general-purpose systems, especially in closed, well-defined environments. It explains how right-sized models cut cost and latency while improving reliability, and how enterprises can combine small and large models in tiered architectures.
