Question 1
BERT stands for
Bidirectional Encoder Representation for Text
Bidirectional Encoder Representation from Transformer
Bidirectionaly Extracted Representation from Transformer
Bidirectionaly Extracted Representation of Text
Question 2
The statement that, in general, position information can also be injected into the attention layers of a transformer model instead of the embedding of input tokens is
TRUE
FALSE
Question 3
12 more questions in this paper
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More on the LLM End Term 28 Apr 2024 Set QDB1 paper
The IIT Madras BS Large Language Models (LLM) End Term paper sat on 28 Apr 2024, in the January 2024 term, set QDB1: 15 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 28 Apr 2024 Set QDB1 at a glance |
|---|---|
| Term | January 2024 term |
| Subject | Large Language Models |
| Course code | BSDA5004 |
| Questions | 15 |
| Marks | 50 |
| Duration | 180 min |
| MCQ | 3 |
| Written | 1 |
| MSQ | 3 |
| Numerical | 8 |
| Official paper | IIT M DEGREE AN EXAM QDB3 28 Apr 2024 |
| Negative marking | No negative marking. |
| Updated |