What Happens Inside an AI System? — Quiz

Question 1

What is the basic flow of a simplified AI system?

Input → Processing → Model → Output Output → Model → Input → Processing Database → Website → User → Printer Training → Keyboard → Monitor → Internet

Question 2

What is the main difference between training and inference?

Training learns patterns from data; inference uses the trained model on new input Training and inference are exactly the same process Inference changes every model parameter permanently Training only happens after the model is deployed

Question 3

What can be the output of an AI system?

Only a number Only an image A prediction, classification, recommendation, recognized text, or generated content Only a yes or no answer

Question 4

What is an important difference between traditional software and machine learning?

Traditional software always uses AI Machine learning systems can learn useful patterns from training data Machine learning contains no software Traditional software cannot process data

Question 5

Does every new question sent to an AI model automatically change the model's learned parameters?

Yes, every question permanently retrains the model Yes, inference always changes all parameters No, ordinary inference does not normally permanently change the underlying model parameters Only if the question contains more than 100 words