Quiz Space

Large Language Models · Quiz 2 · 16 Mar 2025 · January 2025 term

Question 14: Consider the following dictionary with the number of wor…

Question 14

+2 marksNumerical answer

Consider the following dictionary with the number of word occurrences in a corpus:

python
wo =  { "taught" : 2,
        "laughter" : 1,
        "drought" : 4,
        "tough" : 5}

Note: Append </w> to each word at the end.

You will be working with BPE algorithm, answer the given subquestions in that context:

What is the frequency of the pair merged in the very first merge?

Show answer

Correct answer: 12

See the whole paperTake it as a mock test

Question 14 of 18 in the IIT Madras BS Large Language Models (LLM) Quiz 2 paper sat on 16 Mar 2025, in the January 2025 term (IIT M DEGREE AN EXAM QDB2 16 Mar 2025). It carries 2 marks.

More questions from this paper

  1. Q1Consider following assertion and reason pair:\ Assertion: A small vocabulary is desirable, as it reduces the size of th…
  2. Q2Consider following statement and mark if it is true or false:\ Repeating examples in the pre-training datasets are comp…
  3. Q3What is the order of the language modeling pipeline?
  4. Q4Consider fine-tuning the T5 model on a sentiment classification task. The T5 model was pre- trained using the C4 datase…
  5. Q5The strikeout words in the passage given below denote the words to be dropped from the original sentence. “These models…
  6. Q6Suppose the T5 base model has to be fine tuned with gradual unfreezing. First layer of the encoder takes the input in a…
  7. Q7Which of the following models uses a form of denoising objective for pre-training?
  8. Q8Consider the C4 pipeline. Which of the following will NOT pass through it as it is?
  9. Q9Which of the following are correct about GPT-3 model with 175B parameters:
  10. Q10Consider a vocabulary \mathcal{V}, \mathcal{V} =([start], deep, hot, is, learning, research, topic, very, [end]). Assum…
  11. Q11Figure question
  12. Q12Consider the following dictionary with the number of word occurrences in a corpus: Note: Append &lt;/w&gt; to each word…
  13. Q13Consider the following dictionary with the number of word occurrences in a corpus: Note: Append &lt;/w&gt; to each word…
  14. Q15Consider the following dictionary with the number of word occurrences in a corpus: Note: Append &lt;/w&gt; to each word…
  15. Q16Consider the following dictionary with the number of word occurrences in a corpus: Note: Append &lt;/w&gt; to each word…
  16. Q17Consider the following dictionary with the number of word occurrences in a corpus: Note: Append &lt;/w&gt; to each word…
  17. Q18Consider the following dictionary with the number of word occurrences in a corpus: Note: Append &lt;/w&gt; to each word…