Model Fine-Tuning is the process of adapting a pre-trained AI model using additional domain-specific data to improve its performance for particular tasks or industries.
Voice AI providers fine-tune language models for customer support, healthcare, finance, insurance, and other industries to improve terminology, response quality, and task completion while maintaining the model's general capabilities.