AI and Why Your Prompt Shapes the Answer

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-foundations-AI-and-prompt-vs-completion

1. What is the fundamental process an AI uses when generating a response?

   1. It looks up facts in a pre-programmed database
   2. It searches the internet for the most relevant information
   3. It predicts the next word based on patterns it has seen in training data
   4. It thinks about the question like a human would

2. A student asks an AI "Explain photosynthesis" and gets a long technical answer. Then they ask "Explain photosynthesis to a 5-year-old" and get a simple, short answer. What does this demonstrate?

   1. The first answer was incorrect
   2. Small changes in wording can produce very different answers
   3. The AI can only answer simple questions
   4. The AI learned new information between questions

3. What does the term 'prompt' refer to in AI interactions?

   1. The AI's internal programming code
   2. The final answer the AI generates
   3. The input you give to the AI to get a response
   4. The database of facts the AI accesses

4. What does the term 'completion' refer to in AI interactions?

   1. The process the AI uses to generate text
   2. The response generated by the AI
   3. The question you ask the AI
   4. The algorithm that runs the AI

5. If you add the phrase "be honest about uncertainty" to your prompt, what effect is this likely to have?

   1. The AI will only give short answers
   2. The AI will provide more technical jargon
   3. The AI will refuse to answer most questions
   4. The AI will be more likely to acknowledge when it doesn't know something

6. Why does starting your prompt with "You are an expert in..." often improve the quality of an AI's response?

   1. It forces the AI to use only verified facts
   2. It signals to the AI to adopt an expert's tone and depth
   3. It gives the AI access to secret information
   4. It makes the AI work faster

7. What typically happens when you add "show your work" to an AI prompt about a math or reasoning problem?

   1. The AI provides only the final answer
   2. The AI refuses to answer
   3. The AI gives a shorter response
   4. The AI explains its reasoning step by step

8. A learner types two different prompts about the same topic and gets two very different answers. What is the most likely explanation?

   1. The AI randomly chose different answers
   2. The different wording in each prompt caused the AI to generate different outputs
   3. One of the prompts was sent at a different time of day
   4. The AI has memory and learned from the first question

9. Why is input quality important when interacting with AI?

   1. Input quality only matters for writing tasks, not questions
   2. Better prompts lead to better responses because the AI follows your instructions closely
   3. Better prompts make the AI more intelligent
   4. The AI ignores the quality of your input

10. Which of the following statements best describes how AI "understands" a topic?

    1. It truly comprehends concepts like a human does
    2. It accesses a universal database of all knowledge
    3. It recognizes statistical patterns in text it has seen before
    4. It thinks and has opinions about topics

11. A user asks "What's 2+2?" and gets "4". Then they ask "What's 2+2? I need a creative answer" and get "2+2 is like a pair of butterflies with another pair of butterflies." What explains this difference?

    1. The AI has a personality that changes
    2. The second prompt included additional instructions that changed the output style
    3. The AI was feeling more creative the second time
    4. The first answer was wrong so the AI fixed it

12. Why might two people get different answers from the same AI when asking the same question?

    1. One person likely has a premium AI account
    2. The AI has different knowledge for different people
    3. They likely used slightly different wording in their prompts
    4. The AI randomly generates different answers each time

13. Which of the following is NOT a reason that small prompt changes can produce big answer changes?

    1. AI follows your instructions literally and responds to every word
    2. The AI is connected to a live database that updates
    3. AI predicts word by word, so any change shifts the entire prediction path
    4. The AI interprets different phrasings as requests for different types of responses

14. What is the relationship between a prompt and a completion?

    1. The prompt and completion are unrelated
    2. The completion is the question and the prompt is the answer
    3. The prompt is always longer than the completion
    4. The completion is the AI's response that follows from and builds on the prompt

15. A student wants to get better results from an AI. What should they focus on improving?

    1. The length of their messages
    2. The quality and specificity of their prompts
    3. The time of day they use the AI
    4. The speed at which they type