Large-scale pre-trained models have transformed AI by demonstrating broad capabilities across language, vision, and multimodal tasks. Yet in practice, organizations and industries rarely need general intelligence in the abstract. They require models tailored to their specific domains, tasks, and constraints. Fine-tuning and domain adaptation provide the methods for bridging this gap, enabling general-purpose models to perform with precision in specialized contexts.