Extract Data with On-demand and Batch Pipelines Dynamically
📰 AWS Machine Learning
Learn to extract data with on-demand and batch pipelines dynamically using Amazon Bedrock for flexible document processing
Action Steps
- Build an intelligent document processing pipeline using Amazon Bedrock
- Configure on-demand inference for real-time document processing
- Set up batch inference for bulk document processing
- Test the pipeline with sample documents to ensure accuracy
- Compare the costs and processing times of on-demand and batch pipelines
Who Needs to Know This
Data engineers and machine learning engineers can benefit from this pipeline to efficiently process documents and extract relevant data
Key Insight
💡 Use Amazon Bedrock to create a flexible document processing pipeline that balances time and cost efficiency
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📄 Extract data dynamically with on-demand & batch pipelines on Amazon Bedrock! 💡
Key Takeaways
Learn to extract data with on-demand and batch pipelines dynamically using Amazon Bedrock for flexible document processing
Full Article
This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost.
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