Question 15
Which of the following is/are INCORRECT?:
One-shot learning allows a model to correctly make predictions after seeing only a single example of the task.
Zero-shot learning adapts a model without any task-specific training, relying on its ability to generalize from pre-trained knowledge.
One-shot learning requires training the model with a single example from a new task to make predictions for similar cases.
Zero-shot learning requires the model to have seen examples from the task it is asked to perform.