# Week 2, Question 1

**URL:** <https://community.deeplearning.ai/t/week-2-question-1/496738>\
**Category:** Generative AI with Large Language Models\
**Tags:** week-module-2\
**Created:** [November 17, 2023, 2:28am UTC](https://community.deeplearning.ai/t/week-2-question-1/496738 "2023-11-17T02:28:21Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Yusuf\_Kemal\_Demir](https://avatars.discourse-cdn.com/v4/letter/y/67e7ee/32.png) [@Yusuf\_Kemal\_Demir](https://community.deeplearning.ai/u/Yusuf_Kemal_Demir)\
**Post date:** [November 17, 2023, 2:28am UTC](https://community.deeplearning.ai/t/week-2-question-1/496738/1 "2023-11-17T02:28:21Z")

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Can anyone help me to understand the answer for this question please?  
Fill in the blanks: \_\_\_\_\_\_\_\_\_\_ involves using many prompt-completion examples as the labeled training dataset to continue training the model by updating its weights. This is different from \_\_\_\_\_\_\_\_\_ where you provide prompt-completion examples during inference.

Pre-training, Instruction fine-tuning  
In-context learning, Instruction fine-tuning  
Prompt engineering, Pre-training  
Instruction fine-tuning, In-context learning

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<div class="post-metadata">

**Author:** ![gent.spah](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/gent.spah/32/136423_2.png) [@gent.spah](https://community.deeplearning.ai/u/gent.spah)\
**Post date:** [November 17, 2023, 6:56am UTC](https://community.deeplearning.ai/t/week-2-question-1/496738/2 "2023-11-17T06:56:28Z")

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I believe this is:

Instruction fine-tuning involves using many prompt-completion examples as the labeled training dataset to continue training the model by updating its weights. This is different from In-context learning where you provide prompt-completion examples during inference.

Not 100% sure thought but I think this makes more sense.