In the evolving landscape of artificial intelligence, Small Language Models (SLMs) are increasingly recognized as the backbone of efficient, cost-effective automation. While massive Large Language Models (LLMs) often dominate the headlines, businesses seeking to implement narrow automation—such as classification, sentiment analysis, or structured data extraction—are finding that models in the 0.5B to 3B parameter range offer superior latency and operational costs....
