Challenge Your Knowledge: Attention is All You Need Quiz!
disorganizedste
Created 6/12/2024
Think you know all about 'Attention is All You Need'? Put your knowledge to the test with this exciting quiz! Can you score a perfect 5 out of 5?
1. What is the primary innovation introduced in 'Attention Is All You Need'?
Recurrent Neural Networks
Convolutional Layers
Multi-Head Self-Attention
Traditional Machine Learning Algorithms
2. Who is one of the authors from Google Brain?
Aidan N. Gomez
Łukasz Kaiser
Yoon Kim
Minh-Thang Luong
3. What is the benefit of using multi-head attention?
Single representation subspace attention
Higher computational cost
Jointly attending to information from different subspaces
Restricted to single-dimensional queries
4. What is the primary advantage of scaled dot-product attention over additive attention?
Improved theoretical complexity
Less computational efficiency
Better performance for small values of dk
Much faster and space-efficient implementation
5. What sequence transduction model component does the Transformer replace with attention?
Fully connected layers
Convolutional layers
Encoder layers
Recurrent layers
