What techniques help maintain diversity in samples generated by generative models e g GANs VAEs

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Can i get suggestions on how to maintain diversity in samples generated by generative models use code snippets if possible?
Nov 8 in Generative AI by Ashutosh
• 5,810 points
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1 answer to this question.

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You can maintain the diversity in samples by using techniques like:

  • Temperature scaling 
  • Diversity-prompting loss

You can refer to the code showing these techniques:

\

In the above code generates diverse outputs by using temperature scaling and penalizing similarities between consecutive samples.

answered Nov 8 by rahul yadav

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