Domain-Specific Language Models: How to Build Custom LLMs for Your Industry

57% of organizations estimate their data isn't AI-ready. General-purpose LLMs handle broad tasks well but hallucinate on specialized queries, miss domain jargon, and can't access proprietary knowledge. The gap between "impressive demo" and " production-ready AI model " is exactly where domain-specific language models come in. Quick definition: a domain-specific LLM is a large language model trained or fine-tuned on data from a particular field to perform domain tasks with higher accuracy than a general model. This is the practical guide for enterprise teams deciding how to build one, what it actually costs, and which approach fits your situation. Why General LLMs Fall Short on Domain-Specific Tasks General models spread knowledge thin. They know a little about everything but not enough about your field. Domain terminology gets misunderstood. "Margin" means different things in finance vs. retail. "Agent" means different things in insurance vs. AI. General models guess from context. Doma