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Which of the following best describes how perplexity is calculated?

easy📝 Factual Q12 of 15
AI for Everyone - AI Tools Landscape
Which of the following best describes how perplexity is calculated?
ABy measuring the probability of each word predicted by the AI
BBy counting the number of words in a text
CBy checking the length of the AI's output
DBy counting the number of sentences in the text
Step-by-Step Solution
Solution:

  1. Step 1: Recall perplexity calculation basics

    Perplexity uses the probabilities the AI assigns to each predicted word to measure surprise.

  2. Step 2: Identify correct calculation method

    It is not about counting words or sentences but about the likelihood of predicted words.

  3. Final Answer:

    By measuring the probability of each word predicted by the AI -> Option A

  4. Quick Check:

    Perplexity = word prediction probabilities [OK]
Quick Trick: Perplexity uses word probabilities, not counts [OK]
Common Mistakes:
MISTAKES
  • Thinking perplexity counts words or sentences
  • Confusing output length with perplexity
  • Ignoring probability in calculation

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