AI Prompting Quiz

1 Foundational Concepts

According to experts, what is the best way to think about an AI prompt?

A question you ask a knowledgeable friend A program that guides the AI's prediction engine A conversation with an intelligent assistant A search query for the AI's database

2 Core Techniques

What is the primary purpose of assigning a "persona" in your prompt?

To make the conversation more entertaining To narrow the AI's focus to a specific area of expertise To bypass the AI's safety filters To unlock premium AI features

3 Hallucination Prevention

What is the "#1 fix for hallucinations" according to Anthropic's documentation?

Use a more expensive AI model Keep prompts as short as possible Give the AI permission to say "I don't know" Ask the AI to double-check its sources

4 Few-Shot Prompting

What is the difference between "zero-shot" and "few-shot" prompting?

Zero-shot is for images; few-shot is for text Zero-shot costs less; few-shot uses more tokens Few-shot includes examples of desired output; zero-shot does not They are the same thing with different names

5 Chain of Thought

What are the two main benefits of Chain of Thought (CoT) prompting?

Faster responses and lower costs Increased accuracy and increased trust through visible reasoning Better formatting and longer responses Multi-language support and code generation

6 Tree of Thoughts

How does Tree of Thoughts (ToT) differ from Chain of Thought (CoT)?

ToT explores multiple paths simultaneously; CoT follows a single linear path ToT is for creative tasks; CoT is for analytical tasks ToT uses multiple AI models; CoT uses just one There is no difference; they are alternative names

7 Adversarial Validation

Why does the "Battle of the Bots" technique work so well?

Competition makes the AI work harder AI is often better at critiquing and editing than original writing It uses less computational resources Multiple AI models cross-reference each other

8 Meta-Skills

What is the ultimate "meta-skill" for effective AI prompting?

Memorising prompt templates Understanding technical AI architecture Clarity of thought and precise communication Fast typing speed

9 LLM Fundamentals

What is the best description of how Large Language Models (LLMs) generate responses?

They search a database of pre-written answers They predict the most probable next words based on your input They understand your question and reason like humans They access the internet in real-time to find answers

10 Best Practices

According to experts, what should you do when you create a prompt that delivers exceptional results?

Keep it secret to maintain competitive advantage Save it in a prompt library for future use and refinement Delete it and start fresh each time Report it to the AI company