mall Language Models are scaled-down versions of large language models, optimized for efficiency, lower resource consumption, and domain-specific tasks. They can be deployed on local devices or within restricted environments where speed and cost are priorities. For enterprises, SLMs offer a way to run AI in secure or bandwidth-constrained environments without sacrificing responsiveness or accuracy for targeted use cases.