What techniques do you use to cache or pre-compute frequently generated responses to reduce model load

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Can you tell me the names of the techniques use to cache or pre-compute frequently generated responses to reduce model load?
Nov 8 in Generative AI by Ashutosh
• 5,810 points
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1 answer to this question.

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Most efficient techniques to cache or pre-compute frequently generated response are as follows:

  • Response Caching
  • Memoization
  • Embeddings Caching
  • Indexing
  • Pre-Training with Fixed Responses
Note that these techniques will help in reducing model load and improving efficiency also.
answered Nov 8 by amita

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