Practice - Quantization
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Practice Questions
Test your understanding with targeted questions
What is quantization in the context of AI models?
💡 Hint: Think about changing the representation of numbers.
What are the two primary methods of implementing quantization?
💡 Hint: Consider whether the model is pre-trained or not.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the main purpose of quantization in AI models?
💡 Hint: Think about why low precision would be helpful for AI.
True or False: Quantization-Aware Training adjusts the model after it has been trained.
💡 Hint: Consider when the adjustments take place.
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Challenge Problems
Push your limits with advanced challenges
Consider an edge device application requiring real-time decision making in a healthcare environment. Discuss how quantization could be tailored to maintain accuracy while minimizing response time.
💡 Hint: Focus on how accuracy impacts the application in question.
Evaluate a scenario where post-training quantization results in unexpected accuracy loss. What strategies could be utilized to address this issue?
💡 Hint: Consider both training adjustments and alternative quantization strategies.
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Reference links
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