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Answer: All of the above.
When creating a composed document intelligence model, there are several key considerations to keep in mind. First, you should ensure that the input documents are in a supported format and have a consistent layout, as this will improve the accuracy of the data extraction process. Second, you should select the appropriate prebuilt and custom models based on the specific data extraction requirements of your solution. Finally, you should design the workflow to orchestrate the execution of the different models in the correct order, ensuring that the output of one model is used as input for the next model in the pipeline. All of these considerations are important for creating an effective composed document intelligence model.
Author: LeetQuiz Editorial Team
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You have been asked to create a composed document intelligence model that combines the capabilities of multiple prebuilt and custom models. What are the key considerations you should keep in mind while designing this composed model?
A
Ensure that the input documents are in a supported format and have a consistent layout.
B
Select the appropriate prebuilt and custom models based on the specific data extraction requirements.
C
Design the workflow to orchestrate the execution of the different models in the correct order.
D
All of the above.
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