Fine-Tuning
Further-training a general AI model on your own examples so it fits your specific use case.
Fine-Tuning takes a general pre-trained model and trains it a little more on your own examples so it adapts to your tone, domain or task. For many business cases, prompting plus RAG is cheaper and faster than fine-tuning, but fine-tuning helps when you need a very consistent style or a specialised skill the base model lacks.