Prompt Engineering /Questions to the text: How to communicate with AI tools
Quiz by Jana Tabi
Feel free to use or edit a copy
includes Teacher and Student dashboards
Measure skillsfrom any curriculum
Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.
- edit the questions
- save a copy for later
- start a class game
- automatically assign follow-up activities based on students’ scores
- assign as homework
- share a link with colleagues
- print as a bubble sheet
- Q1
Q: What is prompt engineering? A: The process of generating responses from an AI language model
falsetrueTrue or False30s - Q2
How do AI language models understand human language?
Through supervised learning techniques
Through deep learning algorithms and natural language processing
Through analyzing labeled datasets
30s - Q3
What are the two main learning methods for AI language models?
Supervised learning and unsupervised learning
Grammar, syntax, and semantics
Labeled datasets and unlabeled datasets
Deep learning and natural language processing
30s - Q4
What is the foundation of many AI language applications?
Prompt engineering
Deep learning algorithms
Language modeling
Data training
30s - Q5
Which prompt category is used to gather information?
Information-seeking prompts
Instruction-based prompts
Comparative prompts
Context-providing prompts
30s - Q6
Which prompt category is used to compare or evaluate different options?
Context-providing prompts
Instruction-based prompts
Comparative prompts
�Information-seeking prompts� �
30s - Q7
Which prompt category is used to get the AI's opinion on a given topic?
Instruction-based prompts
Reflective prompts
Opinion-seeking prompts
Role-based prompts
30s - Q8
What is the importance of clarity in prompt engineering?
It helps the AI analyze unlabeled datasets
It helps the AI develop language understanding capabilities
It helps the AI provide more accurate responses
It helps the AI understand human language
30s - Q9
What do setting limitations and constraints in prompt engineering help with?
Breaking down queries into smaller blocks
Getting the intended response and avoiding irrelevant information
Prioritizing important information in the promp
Providing context and examples
30s - Q10
How can you encourage critical thinking in prompt engineering?
By asking the AI to think critically
By providing additional context and examples
By verifying the accuracy of generated responses
By breaking down queries into smaller blocks
30s