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Large Language Models, Quiz 1

September 2025 term, 26 Oct 2025, Set QDB2

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Question 1

+2−0Single correct

Select one option

A.
To increase the numerical precision of the attention scores.
B.
To reduce the overall computational cost of the attention mechanism.
C.
To ensure that the sum of the attention scores for each query equals 1.
D.
To avoid numerical issues and loss of gradients during training.

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Figure from the original question paper Which of the following is true regarding sinusoidal encoding? We have a transformer model translating English to French. Suppose the target sequence is: Target (French): [‘je’, ‘suis’, ‘heureux’] Suppose the model predicted at time step t: t = 1: ‘je’ t = 2: ‘content’ t = 3: ‘heureux’ If teacher forcing is used, what will be the decoder input at time step 3?