AI Knowledge Check
25 questions across 5 areas — find out where you're strong and where you could learn more.
1.Basics
What's the difference between narrow and general AI?
2.Basics
What happens when an AI 'hallucinates'?
3.Basics
How does a Large Language Model like ChatGPT learn?
4.Basics
What distinguishes machine learning from traditional programming?
5.Basics
Why can different AI models give different answers to the same question?
6.Prompting
What does Chain-of-Thought prompting achieve?
7.Prompting
What elements make a prompt truly effective?
8.Prompting
In which situations should you scrutinize AI answers particularly carefully?
9.Prompting
What's the difference between a system prompt and a user prompt?
10.Prompting
Why does the same prompt sometimes deliver different results?
11.Tools
How do ChatGPT and Claude differ in practice?
12.Tools
What's behind the term RAG in AI applications?
13.Tools
Where are the limits of AI image generation like DALL-E or Midjourney?
14.Tools
What's a key disadvantage of free AI tools compared to paid ones?
15.Tools
What is an AI coding assistant like GitHub Copilot best suited for?
16.Safety
What data should you never enter into an AI chatbot?
17.Safety
What does the EU AI Act regulate?
18.Safety
How can you identify a deepfake?
19.Safety
What does the term 'AI alignment' mean?
20.Safety
Why is it problematic when AI training data is biased?
21.Future
What distinguishes AI agents from regular AI chatbots?
22.Future
What does the term 'Vibe Coding' describe?
23.Future
Which AI development will likely change the workplace most significantly?
24.Future
What does 'multimodal AI' mean?
25.Future
What's the difference between open-source and proprietary AI models?