AWS AI Practitioner
A company has a large labeled dataset. The company wants to use the dataset to customize a foundation model (FM) for a specific task. Which technique should the company use?
A
Continued pre-training
B
Prompt engineering
C
Perform fine-tuning
✓ Correcta
D
Retrieval augmented generation (RAG)
Explicación
Fine-tuning uses a labeled dataset to customize a pre-trained foundation model for a specific task. The labeled data allows the model to learn task-specific patterns and improve performance on that particular use case. This is the appropriate technique when you have labeled data and want to specialize an FM.