Question 2
Question 3
Which of the following statements about subword tokenizers (e.g., Byte Pair Encoding, SentencePiece) is true?
They always split words into individual characters.
They help handle rare words by breaking them into smaller units.
They require the vocabulary to contain every possible word in the language.
They can reduce the overall vocabulary size compared to word-level tokenizers.
14 more questions in this paper
Sign in with Google — it is free — to see every question with its answer and explanation, practise it in learning mode, or take it as a timed mock test.
More on the LLM End Term 31 Aug 2025 Set QDB1 paper
The IIT Madras BS Large Language Models (LLM) End Term paper sat on 31 Aug 2025, in the May 2025 term, set QDB1: 17 questions for 40 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 31 Aug 2025 Set QDB1 at a glance |
|---|---|
| Term | May 2025 term |
| Subject | Large Language Models |
| Course code | BSDA5004 |
| Questions | 17 |
| Marks | 40 |
| Duration | 180 min |
| MCQ | 5 |
| MSQ | 5 |
| Numerical | 7 |
| Official paper | IIT M DEGREE FN EXAM QDB1 31 Aug 2025 |
| Negative marking | No negative marking. |
| Updated |