Fine-Tuning

Fine-Tuning refers to adapting a base model on task-specific data to improve performance and consistency. It’s often used to improve consistency, reduce cost, or enable private hosting scenarios. Many teams combine customization with RAG so updates to knowledge don’t require frequent retraining. Organizations choose this to improve domain accuracy, align tone, or keep certain workloads in controlled environments. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI