Participate in this quiz to evaluate your knowledge of Transformers, a foundational architecture in the field of deep learning.
Learning resources for this quiz:
- What are Transformers? Discuss the evolution, advantages and major breakthroughs in transformer models
- Explain the Transformer Architecture
- What are the primary advantages of transformer models?
- What are the limitations of transformer models?
- Compare the different Sequence models (RNN, LSTM, GRU, and Transformers)
- Explain Self-Attention, and Masked Self-Attention as used in Transformers
- What is Multi-head Attention and how does it improve model performance over single Attention head?
- Explain Cross-Attention and how is it different from Self-Attention?
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