AI Vocabulary
Quiz
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Computers
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Professional Development
•
Easy
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11 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Generative AI
AI that creates new content, such as text, images, or music, based on patterns learned from existing data.
AI that analyzes existing data to provide insights and predictions.
AI that automates repetitive tasks without creating new content.
AI that enhances existing content by improving its quality.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Output/Response
The answer or content produced by the AI based on the prompt.
A question posed to the AI for generating a response.
The initial input given to the AI for processing.
A summary of the AI's learning process.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Machine Learning
A type of programming that requires explicit instructions.
A subset of AI that allows computers to learn and improve from experience without being explicitly programmed.
A method for data storage and retrieval.
A technique for manual data entry.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Artificial Intelligence (AI)
Technology that enables machines to perform tasks that typically require human intelligence, such as understanding language, recognizing patterns, or solving problems.
A type of software that only performs calculations and data processing.
A system that can only operate under human supervision and cannot learn from experience.
A hardware component that enhances the speed of computer operations.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Ethical Use of AI
Guidelines to ensure AI is used responsibly and respectfully, avoiding harm or misinformation.
Strategies to maximize AI efficiency and productivity.
Techniques for programming AI to outperform human intelligence.
Methods for reducing the cost of AI implementation.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Prompt
A type of computer virus
The input or question given to an AI model to generate a response.
A programming language
A hardware component of a computer
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Bias
When an AI model produces outputs influenced by underlying prejudices present in its training data.
A method to improve the accuracy of AI models.
A technique used to eliminate errors in data processing.
A type of algorithm that enhances machine learning performance.
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