You are required to implement a custom document intelligence model to extract specific fields from a new type of document. Describe the steps you would take to train this model, including data preparation, model selection, and training process. Additionally, explain how you would evaluate the model's performance and what metrics you would use to ensure its accuracy.

Simulated

Prepare data by labeling key fields, select a prebuilt model, train using a small dataset, evaluate using accuracy and precision metrics.

50.0%

Prepare data by segmenting documents, select a custom model template, train using a large dataset, evaluate using F1 score and recall metrics.

50.0%

Prepare data by normalizing formats, select a generic model, train using a balanced dataset, evaluate using mean absolute error and confusion matrix.

0.0%

Prepare data by annotating fields, select a custom model, train using a diverse dataset, evaluate using accuracy and ROC curve.

0.0%

Microsoft Certified Azure AI Engineer Associate - AI-102