# Document Sections: Better rendering of chunks for long documents

**URL:** <https://community.openai.com/t/document-sections-better-rendering-of-chunks-for-long-documents/329066>\
**Category:** Prompting\
**Tags:** vector-db, semantic-search\
**Created:** [August 25, 2023, 3:34am UTC](https://community.openai.com/t/document-sections-better-rendering-of-chunks-for-long-documents/329066 "2023-08-25T03:34:02Z")\
**Posts on this page:** 1\
**Showing post:** 34

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**Author:** ![SomebodySysop](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/somebodysysop/32/17613_2.png) [@SomebodySysop](https://community.openai.com/u/SomebodySysop)\
**Post date:** [September 3, 2023, 8:09am UTC](https://community.openai.com/t/document-sections-better-rendering-of-chunks-for-long-documents/329066/34 "2023-09-03T08:09:23Z")

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> [@stevenic](#):
>
> That’s one of the things I’m wanting to explore. I believe the technique of asking the model to make some conclusions about the various sub parts of the document should work. I may do some experiments this week just to work out what the prompt needs to be.

I’ve had some success using gpt-3.5-turbo-16k to do something similar: creating both rankings and categorizations of query log records. It is taking some back and forth with the prompting – mostly because you’ve got to tell gpt-3.5 what NOT to do almost as much as what TO do – but I am satisfied with the results so far.

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