How do you manage the trade-off between model size and accuracy when fine-tuning generative models for specific use cases

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I am facing issue in managing the trade-off between model size and accuracy . Can you provide code in python solving this issue?
Nov 8 in ChatGPT by Ashutosh
• 5,810 points
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1 answer to this question.

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In order to handle the trade-off between model size and accuracy you can refer to the following:

In the code reference alpha controls the balance between the accuracy and temperature controls on how much knowledge is transferred.

answered Nov 8 by navneet

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