Q3 Single choice Flag What is the characteristic of T-Few fine-tuning for Large Language Models (LLMs)? A It updates all the weights of the model uniformly. B It selectively updates only a fraction of weights to reduce the number of parameters. C It selectively updates only a fraction of weights to reduce computational load and avoid overfitting. D It increases the training time as compared to Vanilla fine-tuning. Correct answer