What is a Small Language Model (SLM or SMLM)?
A Small Language Model (SLM or SMLM) is a type of foundation model trained on a smaller dataset compared to Large Language Models (LLMs). This focused training allows SLMs to learn the nuances and intricacies of specific domains, providing higher quality and more accurate results, increased computational efficiency, and faster training and development times. SLMs offer a valuable option when the focus is on domain-specific accuracy and efficiency.