AWS AI Practitioner
What is the benefit of fine-tuning a foundation model (FM)?
A
Fine-tuning reduces the FM's size and complexity and enables slower inference.
B
Fine-tuning uses specific training data to retrain the FM from scratch to adapt to a specific use case.
C
Fine-tuning keeps the FM's knowledge up to date by pre-training the FM on more recent data.
D
Fine-tuning improves the performance of the FM on a specific task by further training the FM on new labeled data.
✓ Correcta