Question 2
Choose the correct statements regarding an encoder-decoder transformer model:
A self attention block makes use of a mask matrix.
Multi head self attention block is part of the encoder.
Teacher forcing can help speed up the training process for tasks such as machine translation.
None of these.
Question 3
Consider the following statements about increasing the size of the vocabulary
It reduces number of tokens required to represent a sentence
It Increases the computational complexity as embedding matrix size increases
It increases the context length T
None of these
18 more questions in this paper
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More on the LLM End Term 22 Dec 2024 Set QDB1 paper
The IIT Madras BS Large Language Models (LLM) End Term paper sat on 22 Dec 2024, in the September 2024 term, set QDB1: 21 questions for 50 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.
| Feature | LLM End Term 22 Dec 2024 Set QDB1 at a glance |
|---|---|
| Term | September 2024 term |
| Subject | Large Language Models |
| Course code | BSDA5004 |
| Questions | 21 |
| Marks | 50 |
| Duration | 180 min |
| Numerical | 6 |
| MSQ | 6 |
| MCQ | 8 |
| Written | 1 |
| Official paper | IIT M DEGREE AN EXAM QDB4 22 Dec 2024 |
| Negative marking | No negative marking. |
| Updated |