AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. If you’re not actively using the endpoint for an extended period, you should set up an auto scaling policy to reduce your costs.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

An IDP pipeline usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. Common stages include data capture, document classification, document text extraction, content enrichment, document review and validation , and data consumption.

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The MLOps Blog

JUNE 6, 2023

Bookmark for later Building MLOps Pipeline for NLP: Machine Translation Task [Tutorial] Building MLOps Pipeline for Time Series Prediction [Tutorial] Why do we need a model training pipeline? A typical pipeline may include: Data Ingestion: The process begins with ingesting raw data from different sources, such as databases, files, or APIs.

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