What methods do you use to handle out-of-vocabulary words or tokens during text generation in GPT models

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Can you suggest me 3 efficient techniques name to handle out of vocabulary words or tokens during text generation in GPT models?
Nov 8 in Generative AI by Ashutosh
• 6,050 points
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1 answer to this question.

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The three efficient techniques are as follows:

  • 1.Subword Tokenization(Byte pair encoding)
  • 2.Character-Level Tokenization
  • 3.Use of a special Token
These methods helps in mitigating issues related to out-of-vocabulary words improving functioning of the model during inference.
answered Nov 8 by ashu yadav

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