- Overview
- Getting Started
- Activities
- Insights Dashboards
- Document Understanding Process
- Framework Components
- ML Packages
- Overview
- Document Understanding - ML Package
- DocumentClassifier - ML Package
- ML Packages With OCR Capabilities
- 1040 - ML Package
- 1040 Schedule C - ML Package
- 1040 Schedule D - ML Package
- 1040 Schedule E - ML Package
- 4506T - ML Package
- 990 - ML Package - Preview
- ACORD125 - ML Package
- ACORD126 - ML Package
- ACORD131 - ML Package
- ACORD140 - ML Package
- ACORD25 - ML Package
- Bank Statements - ML Package
- BillsOfLading - ML Package
- Certificate of Incorporation - ML Package
- Certificate of Origin - ML Package
- Checks - ML Package
- Children Product Certificate - ML Package
- CMS 1500 - ML Package
- EU Declaration of Conformity - ML Package
- Financial Statements - ML Package
- FM1003 - ML Package
- I9 - ML Package
- ID Cards - ML Package
- Invoices - ML Package
- Invoices Australia - ML package
- Invoices China - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- Invoices Shipping - ML Package
- Packing Lists - ML Package
- Payslips - ML Package
- Passports - ML Package
- Purchase Orders - ML Package
- Receipts - ML Package
- RemittanceAdvices - ML Package
- UB04 - ML Package
- Utility Bills - ML Package
- Vehicle Titles - ML Package
- W2 - ML Package
- W9 - ML Package
- Other Out-of-the-box ML Packages
- Public Endpoints
- Traffic limitations
- OCR Configuration
- Pipelines
- Deep Learning
- Licensing
Fine-tuning
AI Center includes the capability of fine-tuning ML models using data that has been validated by a human using Validation Station.
As your RPA workflow processes documents using an existing ML model, some documents may require human validation using the [Present Validation Station] (https://docs.uipath.com/activities/docs/present-validation-station) activity (available on attended bots or in the browser using Orchestrator Action Center).
The validated data generated in Validation Station can be exported using Machine Learning Extractor Trainer activity, and can be used to fine-tune ML models in AI Center.
We do not recommend training ML models from scratch (i.e. the DocumentUnderstanding ML Package) using data from Validation Station, but only to fine-tune existing ML models (including out-of-the-box models).
For more details about how to build a dataset for fine-tuning, go here.