Challenge Your Knowledge: Attention is All You Need Quiz!

disorganizedste

Created 6/12/2024

70%

Q & A

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Sources

https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf

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

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