A custom or domain-specific language model is a machine learning model tailored to a particular organization or industry, such as insurance, healthcare, or finance. Unlike general-purpose models, these domain models are trained on industry-specific data, allowing them to understand terminology, concepts, and nuances relevant to that field.
These models improve the accuracy and relevance of natural language processing tasks, such as document classification, sentiment analysis, and customer support, by focusing on the specialized vocabulary and context of the domain.