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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What year was the transformer architecture introduced?
💡 Hint: Think about significant papers in deep learning.
Question 2
Easy
What is self-attention?
💡 Hint: Consider how the model pays attention to context.
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 does self-attention allow the transformer to do?
- Focus on one token
- Capture relationships between tokens
- Adjust positional encoding
💡 Hint: Think about how the model interprets sentences.
Question 2
Is positional encoding required in transformers?
- True
- False
💡 Hint: Remember how transformers process input.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a text sequence, explain how self-attention would prioritize certain words over others based on context.
💡 Hint: Consider how context shifts meaning.
Question 2
Evaluate the impact of transformer architecture on the scalability of language models compared to previous architectures like LSTMs.
💡 Hint: Reflect on processing methodologies.
Challenge and get performance evaluation