I have used both Syntex and AI builder models and below are some notes based on my work with the two.
When you create a syntex model, the underlying architecture uses AI Builder in Power Platform and if you have global admin/power platform admin role, you will be able to see the ai builder model in the Power Platform environment.
Implementing Syntex models makes it easier to integrate with SharePoint. You can directly add the model to a document library and documents uploaded there will be auto processed with the extracted metadata as columns in the library. (There is no need to use Power Automate for getting the file and processing it through AI builder and then updating SharePoint and so you would save the effort of setting up and maintaining cloud flows for it). There is an additional advantage with Syntex, you can implement a model on an existing library and use the classify and extract feature to process all existing files. (implementing something like this with AI Builder would require additional logic with Power Automate/ Power Apps)
AI builder models on the other hand directly work well with Power Apps and Power Automate. You can embed a model in a canvas app and upload documents through the app, process them through the model and view results (further you can build the app in a way that a user can verify the extracted data and make any changes if required before saving it to a datasource like dataverse or sharepoint).
A few difficulties I have noticed while working with Syntex is that sometimes it is extremely difficult to export the model and import into different tenants (the training data is all lost similar to AI Builder models) and at times the imported model may not function as expected (maybe there are fixes planned for such issues in the future).
Hope this Helps!
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