Practice - Data Parallelism and Model Parallelism
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Practice Questions
Test your understanding with targeted questions
What is data parallelism?
💡 Hint: Consider how data can be handled across multiple devices at once.
Provide an example of model parallelism.
💡 Hint: Think of how complex models require extensive processing.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does data parallelism allow for?
💡 Hint: Think about how multiple cores help speed up processing.
True or False: Model parallelism is used to divide data into smaller chunks.
💡 Hint: Reflect on the focus of model parallelism.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given a dataset of 20 million records and a model that requires significant resource allocation, outline how you would implement both data and model parallelism to optimize processing.
💡 Hint: Review the limitations and requirements of both strategies.
Analyze the impact of improper implementation of data parallelism on the performance of an AI model.
💡 Hint: Consider the importance of balanced distribution in parallel processing.
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