Artificial Intelligence Flashcards
7 cards from real Artificial Intelligence practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Artificial Intelligence flashcards as text
In a confusion matrix, what does a false positive represent?
Answer: A negative case incorrectly predicted as positive
A false positive occurs when the model predicts the positive class for an instance that is actually negative.
Which architecture introduced the self-attention mechanism that powers modern large language models?
Answer: Transformer
The 2017 Transformer architecture replaced recurrence with self-attention, enabling models like GPT and BERT.
A self-driving car deciding when to brake based on sensor input is an example of which AI application area?
Answer: Autonomous systems and perception
Autonomous vehicles combine perception and real-time decision-making, a hallmark of autonomous systems.
What is the role of the learning rate in gradient descent?
Answer: It controls the size of each weight update step
The learning rate scales the gradient to determine how far weights move at each optimization step.
Which of these is a generative AI task rather than a discriminative one?
Answer: Creating a new image from a text description
Generative models produce new content, while discriminative models classify or predict labels for existing inputs.
In knowledge representation, what does a semantic network use to encode information?
Answer: Nodes for concepts and edges for relationships
Semantic networks represent knowledge as a graph of concept nodes linked by labeled relationships.
What does precision measure in a classification model?
Answer: The fraction of positive predictions that were correct
Precision is true positives divided by all positive predictions, measuring prediction correctness.