How AI Actually Learns — Quiz

Question 1

What is training data?

A collection of examples used to train a machine learning model A list of programming languages The final prediction produced by a model A database containing only incorrect predictions

Question 2

What are parameters in a machine learning model?

The names of the people who created the model Internal numerical values adjusted during training The individual examples in the test dataset The instructions given to an AI assistant

Question 3

What is inference?

The process of collecting training data The process of manually programming every rule Using a trained model to process new data Deleting the model after training

Question 4

What does generalization mean in machine learning?

The ability of a model to perform well on new, unseen data The ability to memorize every training example The number of parameters in a model The amount of storage used by a dataset

Question 5

What is overfitting?

When a model performs equally well on every possible problem When a model learns nothing from its training data When a model becomes too closely adapted to its training data and performs poorly on new data When a model has no parameters