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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is bias in AI?
💡 Hint: Think about how data may reflect societal views.
Question 2
Easy
Define hallucination in the context of LLMs.
💡 Hint: Consider what happens when models output incorrect information.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main risk associated with bias in AI?
- Reinforcing stereotypes
- Reducing processing speed
- Improving accuracy
💡 Hint: Consider the societal implications.
Question 2
True or False: LLMs do not produce hallucinations.
- True
- False
💡 Hint: Think about what 'hallucination' means in this context.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Analyze a recent real-world incident where AI bias caused harm. Suggest ways such situations could be prevented.
💡 Hint: Look for high-profile cases that made headlines.
Question 2
Evaluate how one could implement an auditing framework to ensure LLM transparency. What key elements would it include?
💡 Hint: Consider what researchers and users need for accountability.
Challenge and get performance evaluation