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feat(docs): add custom model fine-tuning and test set documentation
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docs/demo-videos.md

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### Custom Model Fine-Tuning
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Fine-tune Amazon Nova models for document classification using your own labeled Test Sets — validate data, generate training data, train via Bedrock, and deploy a custom model endpoint.
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https://github.com/user-attachments/assets/e82c7be0-ee73-4ad7-8537-87ecf6a1a4c8
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**Related Documentation**: [Custom Model Fine-Tuning Documentation](./custom-model-finetuning.md)
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## Evaluation & Testing
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### Evaluation Framework
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### Creating Custom Test Sets with Ground Truth
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End-to-end workflow for creating your own test set from scratch — configure for high accuracy, discover the schema, process and review documents, save ground truth, and compare model accuracy vs. cost.
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https://github.com/user-attachments/assets/d5e0d590-ce8b-4e14-b2b7-8bde31e57ec2
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**Related Documentation**: [Creating Custom Test Sets](./creating-custom-test-sets.md)
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### Adding Documents to Existing Test Sets
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Incrementally grow test sets over time by adding newly reviewed documents with ground truth — with automatic baseline filtering, time-based file selection, and prepopulated file patterns.
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https://github.com/user-attachments/assets/bcd18e62-4795-44ea-9554-637062fd21d7
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**Related Documentation**: [Creating Custom Test Sets - Incrementally Growing Your Test Set](./creating-custom-test-sets.md#incrementally-growing-your-test-set)
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## Rule Validation
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### Rule Validation Demo

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