# Assistant Output Structuring

**URL:** <https://community.openai.com/t/assistant-output-structuring/603341>\
**Category:** Prompting\
**Tags:** api\
**Created:** [January 27, 2024, 12:02am UTC](https://community.openai.com/t/assistant-output-structuring/603341 "2024-01-27T00:02:55Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Vinny.Delgado](https://avatars.discourse-cdn.com/v4/letter/v/cc9497/32.png) [@Vinny.Delgado](https://community.openai.com/u/Vinny.Delgado)\
**Post date:** [January 27, 2024, 12:02am UTC](https://community.openai.com/t/assistant-output-structuring/603341/1 "2024-01-27T00:02:55Z")

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I had a quick question that came to my mind as I was thinking about how to structure my assistant output for a GPT 3.5 fine tune that i’ve been working on.

As an example, let’s say I was training a model to generate an argument but I fine tuned the model to generate that argument in a certain structure with different points that were to be made.

As follows:  
Argument 1

- Point 1
- Point 2
- Point 3

For the sake of the model to produce a cohesive argument, would it be best to have the assistant structure the output like so?:

{“role”: “assistant”, “content”: “Point 1. \nPoint 2. \nPoint 3.”}

or would the model be able to evaluate previously generated messages as it generates the next ‘point’? Like so:

{“role”: “assistant”, “content”: “Point 1.”}  
{“role”: “assistant”, “content”: “Point 2.”}  
{“role”: “assistant”, “content”: “Point 3.”}

Or would this just completely silo each result and make it much less cohesive?

Thanks,