Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation
Quick Answer
This paper shows that Amazon Bedrock Data Automation (BDA) enhances blueprint extraction accuracy by refining instructions based on 3-10 example documents, achieving results in minutes without model fine-tuning.
Quick Take
Amazon Bedrock Data Automation (BDA) enhances blueprint extraction accuracy by refining instructions based on 3-10 example documents, achieving results in minutes without model fine-tuning. Users can optimize workflows via the Amazon Bedrock console or API, applying best practices for example selection.
Key Points
- BDA refines extraction instructions to improve accuracy in minutes.
- No separate model fine-tuning is required for optimization.
- Users can run optimization workflows through the Amazon Bedrock console.
- Best practices for selecting examples enhance the optimization process.
- 3-10 example documents are needed to initiate the refinement.
Article Excerpt
From source RSS / original summaryBlueprint instruction optimization is a BDA feature that automatically refines your extraction instructions to address this challenge directly. You provide three to ten example documents with expected values, and BDA refines your blueprint instructions to improve accuracy in minutes, not weeks. No separate model fine-tuning is required.
By the end of this post, you can optimize your blueprints to improve accuracy, run the optimization workflow through the Amazon Bedrock console or the API, and apply best practices for selecting examples and ground truth.
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