Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation
📰 AWS Machine Learning
Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation to improve accuracy in minutes, not weeks
Action Steps
- Provide 3-10 example documents with expected values to Amazon Bedrock Data Automation
- Run the blueprint instruction optimization workflow through the Amazon Bedrock console or API
- Refine your blueprint instructions using the optimized output
- Test the optimized blueprint instructions to validate accuracy improvements
- Apply the optimized blueprint instructions to your data extraction pipeline
Who Needs to Know This
Data engineers and scientists on a team can benefit from this feature to refine their extraction instructions and improve accuracy, while data analysts can use the optimized blueprints to inform their decision-making
Key Insight
💡 Amazon Bedrock Data Automation's blueprint instruction optimization feature can refine extraction instructions to improve accuracy without requiring separate model fine-tuning
Share This
🚀 Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation in minutes, not weeks! 📈
Key Takeaways
Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation to improve accuracy in minutes, not weeks
Full Article
Blueprint 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 a
DeepCamp AI