SLMs (also referred to as Short Language Model) are literally smaller language models that are trained on data from specific domains. This often lacks broad contextual information, but they are ideally suited for use in a specific domain. Because they are trained on fewer parameters, the chance of bias is considerably smaller.
See also Large Language Models (LLM)