Fill Descendants: Difference between revisions

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Created page with "{{AutoVersion}} '''''COMING SOON IN VERSION 2025!!''''' '''''Fill Descendants''''' is a Fill Method that executes any Fill Methods on child Data Elements in parallel. This has been shown to dramatically increase efficiency on larger Data Models with multiple Data Sections using AI Extract. This Fill Method will use multiple threads to perform "prefetch operations" on child Data Element's Fill Methods. In the case of AI Extract the long-running LLM completion oper..."
 
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<blockquote>{{#lst:Glossary|Fill Descendants}}</blockquote>
'''''COMING SOON IN VERSION 2025!!'''''
 
 
'''''Fill Descendants''''' is a [[Fill Method]] that executes any Fill Methods on child Data Elements in parallel. This has been shown to dramatically increase efficiency on larger Data Models with multiple Data Sections using AI Extract.


This Fill Method will use multiple threads to perform "prefetch operations" on child Data Element's Fill Methods. In the case of AI Extract the long-running LLM completion operations are performed during prefetch. This allows many LLM completion operations to be performed in parallel, and can significantly reduce extraction time when dealing with large, complex Data Models.
This Fill Method will use multiple threads to perform "prefetch operations" on child Data Element's Fill Methods. In the case of AI Extract the long-running LLM completion operations are performed during prefetch. This allows many LLM completion operations to be performed in parallel, and can significantly reduce extraction time when dealing with large, complex Data Models.

Latest revision as of 14:33, 26 August 2025

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2025

Fill Descendants is a Fill Method that executes any Fill Methods on child Data Elements in parallel. This has been shown to dramatically increase efficiency on larger data_table Data Models with multiple insert_page_break Data Sections using AI Extract.

This Fill Method will use multiple threads to perform "prefetch operations" on child Data Element's Fill Methods. In the case of AI Extract the long-running LLM completion operations are performed during prefetch. This allows many LLM completion operations to be performed in parallel, and can significantly reduce extraction time when dealing with large, complex Data Models.