Intermediate Artificial Intelligence & Machine Learning
Q41 / 100

What is the transformer architecture and why did it revolutionize AI?

Correct! Well done.

Incorrect.

The correct answer is B) An architecture using self-attention mechanisms to process sequences in parallel, capturing long-range dependencies efficiently and scaling to billions of parameters

B

Correct Answer

An architecture using self-attention mechanisms to process sequences in parallel, capturing long-range dependencies efficiently and scaling to billions of parameters

Explanation

Transformers (Vaswani et al., 2017) replaced RNNs for NLP. Self-attention O(n²) allows parallel processing (no sequential dependency). Scales well with data and compute. Foundation for BERT, GPT, T5, and most modern AI.

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