NLP - Text Generation
What is the typical effect of increasing the beam width in beam search decoding?
What is the typical effect of increasing the beam width in beam search decoding?
easy📝 Conceptual Q2 of 15
Step-by-Step Solution
Solution:
Step 1: Define beam width
Beam width is the number of candidate sequences kept at each decoding step.Step 2: Effect of increasing beam width
Increasing beam width means more candidates are explored, which can improve quality but slow decoding.Final Answer:
It increases the number of candidate sequences considered, potentially improving output quality -> Option DQuick Check:
More candidates means better exploration but slower decoding [OK]
Quick Trick: Larger beam width means more candidates, better quality, slower decoding [OK]
Common Mistakes:
MISTAKES- Assuming beam width affects vocabulary size
- Believing beam width controls sequence length directly
- Thinking larger beam width speeds up decoding
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