Whilst large language models (LLMs) have broad general knowledge, small language models (SLMs) have specialised knowledge, such as domain-specific knowledge. They are less heavy on computational resources for training and for deployment. An example of a SLM might be a healthcare SLM, trained specifically on medical data sets. Such a model would not require training on the entire internet in the way that a LLM would. Source: https://www.redhat.com/en/topics/ai/llm-vs-slm In some cases, therefore, enterprises might benefit from choosing SLMs over LLMs. See https://www.techradar.com/pro/small-models-big-wins-four-reasons-enterprises-are-choosing-slms-over-llms