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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Machine Learning Blog

This article describes an AI-powered document processing platform developed for a U.S. National Laboratory using Amazon SageMaker, designed to improve archival data accessibility and management.

  • Uses Mixtral-8x7B LLM and BERT-based NER model for document analysis
  • Implements a serverless, cost-optimized architecture with dynamic SageMaker endpoints
  • Processes documents through multiple stages:
    • Extractive summarization
    • Title generation
    • Abstractive summarization
    • Author extraction
  • Can process 100,000 documents in 12 hours
  • Reduces processing costs by 75-90% through initial extractive summarization

The solution offers a flexible, modular approach to automated document processing, demonstrating the potential of AI and machine learning in managing large-scale archival data.

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