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Answer: Select models based on document complexity, process documents in parallel, handle unmatched documents by routing to a custom model.
Model selection based on document complexity ensures accuracy, parallel processing enhances efficiency, and routing unmatched documents to a custom model provides a solution for handling diverse document types.
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Consider a situation where you need to use prebuilt models to extract data from a variety of document types, including invoices, receipts, and contracts. Describe how you would select the appropriate models for each document type, and outline the steps you would take to process these documents efficiently. Additionally, explain how you would handle documents that do not match any prebuilt model.
A
Select models based on document type, process documents sequentially, handle unmatched documents by manual review.
B
Select models based on document complexity, process documents in parallel, handle unmatched documents by routing to a custom model.
C
Select models based on document format, process documents using batch processing, handle unmatched documents by flagging for future model training.
D
Select models based on document content, process documents using hybrid processing, handle unmatched documents by storing for later analysis.