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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is knowledge distillation in AI?
💡 Hint: Think about how a smaller model learns from a larger one.
Question 2
Easy
What are the roles of the teacher and student models?
💡 Hint: Consider which model is giving knowledge and which one is receiving it.
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 purpose of knowledge distillation?
- A) To create more complex models
- B) To improve the performance of smaller models
- C) To eliminate the need for AI training
💡 Hint: Remember the relationship between the teacher and student models.
Question 2
True or False: The student model is always larger than the teacher model.
- True
- False
💡 Hint: Think about the definitions of teacher and student models.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an AI application for a smart home device utilizing knowledge distillation. Explain the choice of teacher and student models.
💡 Hint: Think about practical applications where immediate feedback is critical.
Question 2
Critique the effectiveness of knowledge distillation in environments with limited data. When might it be less successful?
💡 Hint: Consider the dependency on the teacher model's training quality.
Challenge and get performance evaluation