Custom Document Models Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Document Intelligence

Custom Document Models Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    What is the primary purpose of using a Custom Document Model in Foundry compared to using a pre-trained generic OCR model?

  2. 2

    When building a Custom Document Model, what is the significance of the 'ground truth' dataset?

  3. 3

    You notice that your Custom Document Model is failing to extract fields from documents that have a slightly different orientation or rotation. What is the best practice to improve model robustness?

  4. 4

    In Foundry's Document Intelligence workflow, what is the primary role of the 'Human-in-the-loop' (HITL) review task?

  5. 5

    You are training a model to extract line items from complex, multi-page invoices. After training, the model shows high precision but low recall for specific line items. What architectural adjustment should you prioritize?