What is Machine Learning?

AI that learns patterns from data

What is a key AI software development challenge?

AI models require large datasets

What is Hugging Face used for?

Hosting and deploying AI models

What is a Neural Network?

A machine learning model inspired by the brain

AI designed for a specific task

What is Explainable AI?

AI that provides reasoning for decisions

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Introduction to Artificial Intelligence

14 termsStudBud Administration16 plays

Explore the fundamentals of artificial intelligence, including narrow AI, machine learning, and neural networks

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Questions 14

Answers

1
What is Machine Learning?
AI that only works with images
AI that follows rules
AI that doesn't need data
AI that learns patterns from data
2
Which AI model architecture powers ChatGPT?
RNN
GAN
Transformer
CNN
3
What is a key AI software development challenge?
AI models require large datasets
AI does not need human review
AI never makes mistakes
AI works better without data
4
Which ML type uses labeled data?
Supervised Learning
Neurons
Unsupervised Learning
Reinforcement Learning
5
What makes AI-based software different?
It is easier to build
It follows fixed rules
It does not require updates
It learns from data
6
What is Hugging Face used for?
A new social media platform
A programming language
A deep learning hardware provider
Hosting and deploying AI models
7
What is a Neural Network?
A programming language
A search algorithm
A machine learning model inspired by the brain
A data storage system
8
How does AI improve software development?
Finding and fixing bugs
Automating repetitive tasks
Writing code automatically
All of the above
9
What is Narrow AI?
AI that controls robots
AI designed for a specific task
AI with human-like reasoning
AI that learns general skills
10
Which method explains AI decisions?
SHAP
GAN
RNN
CNN
11
What is a key challenge in AI deployment?
AI models never fail
High computational costs
AI requires no data
AI does not need updates
12
What is Explainable AI?
AI that provides reasoning for decisions
AI that generates documentation
AI that doesn't need human supervision
AI that improves itself
13
What is a major concern about AI development?
AI is always safe
AI needs no regulation
AI has no risks
AI ethics and safety
14
How can AI bias be reduced?
Letting AI correct itself
Using diverse training data
Ignoring bias in datasets
Avoiding AI for decision-making

Introduction to Artificial Intelligence Flashcards | StudBud