From the course: Azure AI Engineer Associate (AI-102) Cert Prep: Implement Knowledge Mining Solutions and Document Intelligence Solutions
Unlock the full course today
Join today to access over 24,900 courses taught by industry experts.
Use prebuilt models to extract data from docs
From the course: Azure AI Engineer Associate (AI-102) Cert Prep: Implement Knowledge Mining Solutions and Document Intelligence Solutions
Use prebuilt models to extract data from docs
- [Instructor] Many forms and documents that your business handles are common across many companies in different sectors. Document intelligence includes prebuilt models so that you can handle these common document types fairly easily. The general approach used in AI solutions is to provide a large quantity of training data and then optimize the model by trying different features and parameters on top of it. The combination that best predicts the values that are of interest equates to the final trained model, and you can use this to predict values from new data in the future. Many of the forms that businesses use on a day-to-day basis are pretty much common across fair basis. For example, most businesses issue or receive invoices and receipts. Any business that has employees in the United States must use the W2 tax declaration form, and also you often have more documents that are quite general that you might just want to extract data from. For those kind of cases, Microsoft has helped…
Contents
-
-
-
-
-
-
-
(Locked)
Plan and provision a Document Intelligence solution4m 20s
-
(Locked)
Provision a Document Intelligence resource2m 50s
-
(Locked)
Criteria to choose the most effective model5m 9s
-
(Locked)
Use prebuilt models to extract data from docs9m 29s
-
(Locked)
Implement a custom Document Intelligence model9m 44s
-
(Locked)
Test a custom Document Intelligence model2m 2s
-
(Locked)
Create a composed Document Intelligence model2m 2s
-
(Locked)
-