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Unstructured and complex documents user guide
- Overview
- Model building
- Model validation
- Model deployment
- Consuming models
- API
- Frequently asked questions
Iterative process for building generative extraction models for unstructured and complex documents in IXP, from uploading sample documents through prompt engineering and output validation.
This section outlines the end-to-end process of building generative extraction models for unstructured and complex documents.
Building high-performing models is an iterative process that requires continuous prompt engineering and output validation.
The model building process
- Upload a sample of representative documents for the use case:
- Identify what data points (fields) you want to extract and how they relate to each other (field groups).
- Provide overall extraction instructions.
- Create the corresponding extraction schema and provide field group and field instructions.
- Validate and improve extractions:
- Review the initial predictions, and notice how well they are performing.
- Modify the prompt instructions and test the impact on the performance of the model.
- Confirm or correct extractions to gather ground truth for performance evaluation.