Problem
Scenario
You are discussing modern NLP model architectures in an interview setting. The conversation turns to the model family behind many current text classification, generation, and retrieval systems.
Question
What is a transformer?
What this tests
- Understanding of self-attention and token interactions
- How tokenization and embeddings feed transformer layers
- Why transformers replaced many older NLP architectures
- How transformers are used in practical NLP systems
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