CS: Prompt Engineering and Working with LLMs
Writing clear prompts, checking outputs, and using AI responsibly
Writing clear prompts, checking outputs, and using AI responsibly
CS - Grade 6-8
- 1
A student types this prompt into an LLM: "Tell me about dogs." Rewrite the prompt so it is more specific and useful for a 7th grade science report about how dogs communicate.
- 2
List three parts of a strong prompt for an LLM. For each part, explain why it helps the model give a better answer.
- 3
Look at this prompt: "Make it better." Explain why this prompt is weak, then write a stronger version for improving a paragraph in a history essay.
- 4
An LLM gives this answer: "The capital of Australia is Sydney." What should you do before using this answer in a school assignment, and what is the correct information?
- 5
Write a prompt that asks an LLM to help you study for a math quiz on ratios. The prompt should ask for practice questions, step-by-step explanations, and feedback after each answer.
- 6
The diagram shows a prompt improvement cycle: Ask, Check, Revise, Try Again. Explain how this cycle can help someone get better results from an LLM.
- 7
A student wants help writing a book report. Which prompt is more responsible, and why? Prompt A: "Write my whole book report so I can turn it in." Prompt B: "Help me make an outline for my book report and ask me questions about the book so I can write it myself."
- 8
An LLM can sometimes make up facts, sources, or details. What is this problem often called, and what are two ways a student can reduce the risk of using false information?
- 9
The chart compares two prompts. Prompt 1 says: "Explain climate change." Prompt 2 says: "Explain climate change in 5 bullet points for a 6th grader, using one example of how it affects oceans." Identify two reasons Prompt 2 is likely to get a more useful answer.
- 10
Write a short safety rule for using LLMs at school. Your rule should mention personal information and checking important answers.
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