Power Platform Community Forum Thread Details

Hi!

I have developed a text classification AI model using the AI builder from within Power Apps

I would like to run this model against a large dataset – what is the best way to run the AI model against a dataset please?

I am currently trying to do this by using Power Automate to loop through rows in a table to generate new columns for the AI generated columns however this doesn't seem like the most efficient method as:

1. Takes a long time to iterate through rows (I read it will take roughly 30hrs to iterate 200k records)

2. Limit on 5k results from a dataverse table, which I am trying to solve this by developing a loop as part of the solution, keen to know if anyone has encountered a similar issue or knows how to resolve

What is the best way to run a text classification AI model developed from the AI builder against a dataset? For example, is there a method to run this custom text classification model via dataflow for example?

Thanks in advance

Categories:

AI Builder