Q2 Single choice Flag 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. Correct answer