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AI Terminology Quiz Flashcards | StudBud
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AI Terminology Quiz
AI Terminology Quiz
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1
What is an AI model?
A type of hardware component
A programming language
A software program trained on datasets to perform tasks
A cybersecurity protocol
2
What distinguishes AI from traditional programming?
AI only works with visual data
AI is limited to basic arithmetic
AI can learn and improve from data
AI does not require code
3
Which of the following is an example of a Large Language Model?
Photoshop
Stable Diffusion Online
Python
ChatGPT
4
Which software is commonly used for online chat and can prompt AI software?
Excel
Python
Discord
Photoshop
5
What is one major challenge associated with Deep Learning?
Lack of internet connectivity
No practical applications
Inability to recognize patterns
High computational power requirements
6
What is Machine Learning (ML)?
A software testing technique
A type of programming language
A method for computers to learn from data and improve performance
A model used only for robotics
7
What does the term "Prompt" refer to in AI?
A type of machine learning model
Instructions given to AI to generate an output
A programming language
A command to turn off an AI system
8
What happens during the AI training process?
AI training is only for supervised learning
Data is fed into AI software to help it learn
AI software is manually programmed
The AI automatically generates models without data
9
What does Artificial Intelligence (AI) refer to?
The ability of a computer to perform tasks requiring human intelligence
A social media algorithm
The process of data storage in computers
A type of programming language
10
What is one primary use of diffusion models?
Translating human languages
Storing AI training data
Filtering spam emails
Generating images
11
Why do Deep Learning models require large datasets?
To learn complex patterns
To store more memory
To limit human involvement
To reduce programming errors
12
Which of these is NOT a type of Machine Learning?
Predictive Learning
Reinforcement Learning
Unsupervised Learning
Supervised Learning
13
What is a key characteristic of Generative AI?
The ability to predict the weather
The ability to translate spoken languages
The ability to create new content
The ability to store large datasets
14
Supervised learning requires:
No data at all
Fully autonomous learning
Human decision-making at every step
Labeled data for training
15
How does reinforcement learning differ from other types of ML?
It requires no human intervention
It uses rewards to improve learning
It does not involve data
It is not a type of Machine Learning
16
What is Deep Learning (DL) a subset of?
Robotics and AI
Machine Learning and Artificial Intelligence
Only Machine Learning
Data Science
17
What is the primary function of a Diffusion Model in AI?
To generate images using deep learning algorithms
To process natural language
To analyze large datasets
To automate software development
18
Large Language Models (LLMs) specialize in:
Data encryption
Simulating physical environments
Controlling robotic movements
Generating human-like text
19
What is the purpose of training in AI?
Feeding data into AI to begin machine learning
Teaching humans how to code AI
Creating new programming languages
Storing data permanently
20
What does Generative AI do?
Manages cybersecurity
Creates new content based on training data
Only translates languages
Detects fraudulent online transactions
