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This post explains how to create an AI-driven document processing system using open-source NER models and LLMs on Amazon SageMaker. The solution enhances the accessibility of historical data by automating metadata enrichment, document classification, and summarization. It uses a serverless architecture for cost efficiency and employs models like Mixtral-8x7B for abstractive summarization and BERT for entity recognition, ensuring precise search functionality and streamlined document management.

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