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AI Vocabulary

Total questions: 11

Worksheet time: 6mins

Name
Class
Date
1.

Generative AI

a)

AI that creates new content, such as text, images, or music, based on patterns learned from existing data.

b)

AI that analyzes existing data to provide insights and predictions.

c)

AI that automates repetitive tasks without creating new content.

d)

AI that enhances existing content by improving its quality.

2.

Output/Response

a)

The answer or content produced by the AI based on the prompt.

b)

A question posed to the AI for generating a response.

c)

The initial input given to the AI for processing.

d)

A summary of the AI's learning process.

3.

Machine Learning

a)

A type of programming that requires explicit instructions.

b)

A subset of AI that allows computers to learn and improve from experience without being explicitly programmed.

c)

A method for data storage and retrieval.

d)

A technique for manual data entry.

4.

Artificial Intelligence (AI)

a)

Technology that enables machines to perform tasks that typically require human intelligence, such as understanding language, recognizing patterns, or solving problems.

b)

A type of software that only performs calculations and data processing.

c)

A system that can only operate under human supervision and cannot learn from experience.

d)

A hardware component that enhances the speed of computer operations.

5.

Ethical Use of AI

a)

Guidelines to ensure AI is used responsibly and respectfully, avoiding harm or misinformation.

b)

Strategies to maximize AI efficiency and productivity.

c)

Techniques for programming AI to outperform human intelligence.

d)

Methods for reducing the cost of AI implementation.

6.

Prompt

a)

A type of computer virus

b)

The input or question given to an AI model to generate a response.

c)

A programming language

d)

A hardware component of a computer

7.

Bias

a)

When an AI model produces outputs influenced by underlying prejudices present in its training data.

b)

A method to improve the accuracy of AI models.

c)

A technique used to eliminate errors in data processing.

d)

A type of algorithm that enhances machine learning performance.

8.

Chatbot

a)

An AI system designed to simulate human conversation.

b)

A robot that performs physical tasks.

c)

A software for managing databases.

d)

A tool for creating websites.

9.

Training Data

a)

The information or text that an AI model learns from.

b)

Random data generated for testing purposes.

c)

Data that is not used in the training process.

d)

Information that is discarded after training.

10.

Hallucination

a)

When an AI generates information that sounds accurate but is actually incorrect or fabricated.

b)

A state of perception without external stimuli.

c)

A technique used to enhance memory retention.

d)

A method for generating random data.

11.

Large Language Model (LLM)

a)

An AI model trained on vast amounts of text to understand and generate human language, like ChatGPT or Gemini.

b)

A type of neural network used for image recognition tasks.

c)

A programming language designed for statistical analysis.

d)

A database management system for handling large datasets.