Practice Knowledge Distillation (3.3) - AI for Edge Devices and Internet of Things

Practice: Knowledge Distillation

Lesson 3.3AI for Edge Devices and Internet of Things

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is knowledge distillation in AI?
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Think about how a smaller model learns from a larger one.
Question 2.
What are the roles of the teacher and student models?
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Consider which model is giving knowledge and which one is receiving it.
3Question 3.
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
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Remember the relationship between the teacher and student models.
4Question 4.
True or False: The student model is always larger than the teacher model.
- True
- False
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Think about the definitions of teacher and student models.
Question 5.
Design an AI application for a smart home device utilizing knowledge distillation. Explain the choice of teacher and student models.
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Think about practical applications where immediate feedback is critical.
Question 6.
Critique the effectiveness of knowledge distillation in environments with limited data. When might it be less successful?
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Consider the dependency on the teacher model's training quality.

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