GenAI Basics · Question 22 · Medium

What does top-p (nucleus) sampling do when choosing the next token?

  1. It always picks the single most likely token
  2. It samples only from the smallest set of most-likely tokens whose combined probability reaches p
  3. It samples from exactly p tokens
  4. It removes the p most likely tokens before sampling
Answer and explanation

Answer: B. It samples only from the smallest set of most-likely tokens whose combined probability reaches p

Explanation: With top-p = 0.9, tokens are ranked by probability and the smallest top group reaching 90% total probability is kept; the next token is sampled from that group. Always picking the top token is greedy decoding.

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