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Deep Learning and GenAI End Term: 10 May 2026, Set 1 (January 2026 term)

Question 1

+4 marksOne correct option

Which of the following is the MOST correct way to run a trained model on test data?

  1. A

    y = model(X_test)

  2. B

    model.eval() y = model(X_test)

  3. C

    with torch.no_grad(): y = model(X_test)

  4. D

    model.eval() with torch.no_grad(): y = model(X_test)

Question 2

+4 marksOne correct option

Consider the sentence:
"Data science is fun"
In a bigram language model, which probability expression correctly represents the probability of the word "is"?

  1. A

    P(is | Data, science)

  2. B

    P(is | science)

  3. C

    P(is | fun)

  4. D

    P(is | science, fun)

Question 3

+4 marksOne correct option

We are given the Q, K, V matrices to compute the scaled dot product attention matrix for a transformer.
Keeping everything else same we double every value in the V matrix.
How will this change the scaled dot product attention scores that are computed?

  1. A

    There won't be any change to the attention scores.

  2. B

    Attention scores will double.

  3. C

    Attention scores will get halved.

  4. D

    Attention scores will change but we can't determine how much they will change without checking the actual values of the V matrix.

21 more questions in this paper

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More on the Deep Learning and GenAI End Term 10 May 2026 Set 1 paper

The IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) End Term paper sat on 10 May 2026, in the January 2026 term, set 1: 24 questions for 100 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.

FeatureDeep Learning and GenAI End Term 10 May 2026 Set 1 at a glance
TermJanuary 2026 term
SubjectIntroduction to Deep Learning and Generative AI
Course codeBSDA2001
Questions24
Marks100
Duration180 min
MCQ14
MSQ8
Numerical2
Official paperIntroduction To Deep Learning And Generative Ai 06 May 26 (Session 2)
Negative markingNo negative marking.
Updated

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