Question 1
Based on the above data answer the given subquestions.
What is the size of the vocabulary built by the Team C?
Based on the above data answer the given subquestions.
What is the size of the vocabulary built by the Team C?
Based on the above data answer the given subquestions.
Choose the correct statements about the number of parameters in the model (excluding the embedding and output layer parameters)
Team A model has less number of parameters than the team B
Team B model has less number of parameters than the team C
Team C model has more number of parameters than the team A
All models have the same number of parameters
Based on the above data answer the given subquestions.
Assume that the word “acrophobia” is not present in the vocabulary, then which of the following tokenizer(s) is(are) guaranteed to tokenize this word into sub-words units (i.e., it does not return [unk] token)
The tokenizer used by the team A
the tokenizer used by the team B
the tokenizer used by the team C
None of the given options
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The IIT Madras BS Large Language Models (LLM) Quiz 2 paper sat on 24 Mar 2024, in the January 2024 term (T1 2024): 14 questions for 50 marks in 120 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 Quiz 2 24 Mar 2024 at a glance |
|---|---|
| Term | January 2024 term (T1 2024) |
| Subject | Large Language Models |
| Course code | BSDA5004 |
| Questions | 14 |
| Marks | 50 |
| Duration | 120 min |
| Numerical | 1 |
| MSQ | 9 |
| MCQ | 4 |
| Official paper | IIT M DEGREE AN EXAM QDB2 24 Mar 2024 |
| Negative marking | No negative marking. |
| Updated |