Hi all,
I hope someone can assist with this. I am working on a DU process where every onboarding employees have to take a training and obtain a certificate, which serve as proof that the training was completed, for each courses they have to take. Although all of the certificates have all of the basics info I need, but they are all different because they can be obtain from different entities. My challenge is, I was able to trained ML in one of the vendor certificates but when I run the process to pull the basics info I need on ALL of the certificates, the process keeps getting placed in “suspended mode” waiting for user to clear the certificate with suspension.
Can I have multiple train ML for one process?
Is there a better way I can approach this where I can collect the the info I need no matter who the vendor is or what the certifications look like?
Thank you!
hi, @TiMike You can’t just use one ML model for all your different certificates if they look different. Each vendor’s cert is different, right? So one model won’t cover them all.
No strict limit on how many ML models you can use. But keep it simple. Too many makes it slow and hard to manage. Best to have one ML model per document type or vendor group. Use classification to split docs and run only the needed model.
This keeps things fast and clean and also like Quality over quantity.
If all the certificates possess the same information (even if the structure and/or formatting is different between documents), you might be able to use IXP to create the prompts necessary for extracting the data from each certificate.
If you have access to IXP, then I recommend building a quick proof-of-concept and test with with 3-5 different certificates.