Senior Rga Developer at a tech vendor with 10,001+ employees
MSP
Top 20
Jun 4, 2026
I have observed that while training Nanonets, we must provide a larger number of examples or documents. When I trained the model, it usually requested around 50 documents as a dataset to train the model. I found this very difficult because business users are not very helpful in providing such a large number of documents; we usually have around two, three, or five. It would be helpful if we could start training the model with limited datasets and then have an option to always improve the model by providing more datasets as we progress through the journey, but it should not be a blocker at the first stage where you need to provide at least 50 samples for a model to train.
Intelligent Document Processing (IDP) transforms unstructured data from documents into structured formats, streamlining data extraction processes with advanced technologies.This technology combines AI, machine learning, and natural language processing to automate document handling tasks previously done manually. It can handle large volumes of data quickly and accurately, significantly reducing human error while improving operational efficiency.What are the critical features of Intelligent...
I have observed that while training Nanonets, we must provide a larger number of examples or documents. When I trained the model, it usually requested around 50 documents as a dataset to train the model. I found this very difficult because business users are not very helpful in providing such a large number of documents; we usually have around two, three, or five. It would be helpful if we could start training the model with limited datasets and then have an option to always improve the model by providing more datasets as we progress through the journey, but it should not be a blocker at the first stage where you need to provide at least 50 samples for a model to train.