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Deep Learning Practice · Quiz 1 · 15 Mar 2026 · January 2026 term

Question 8: During the full fine-tuning of a Large Language Model, yo…

Question 8

+2 marksOne correct option

During the full fine-tuning of a Large Language Model, you aim to regularize the training process by penalizing the growth of weight magnitudes. This ensures the model does not overfit the fine-tuning data by making excessively large updates to the pretrained parameters. Which parameter is specifically designed to apply this penalty?

  1. A

    Gradient Accumulation.

  2. B

    Batch Size.

  3. C

    Checkpointing.

  4. D

    Weight Decay.

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Correct answer

  • D

    Weight Decay.

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Question 8 of 19 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 1 paper sat on 15 Mar 2026, in the January 2026 term (Deep Learning Practice 15 Mar 26). It carries 2 marks.

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