Categorization IDP LLM 
AWS Machine Learning Blog
MARCH 20, 2025
IDP is powering critical workflows across industries and enabling businesses to scale with speed and accuracy. Financial institutions use IDP to automate tax forms and fraud detection , while healthcare providers streamline claims processing and medical record digitization. billion in 2025 to USD 66.68
AWS Machine Learning Blog
JUNE 18, 2024
This represents a major opportunity for businesses to optimize this workflow, save time and money, and improve accuracy by modernizing antiquated manual document handling with intelligent document processing (IDP) on AWS. There may occasionally be different sorts of documents and no automatic method for identifying and categorizing them.
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AWS Machine Learning Blog
OCTOBER 24, 2023
Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.
AWS Machine Learning Blog
APRIL 7, 2025
How prompt caching works Large language model (LLM) processing is made up of two primary stages: input token processing and output token generation. As you send more requests with the same prompt prefix, marked by the cache checkpoint, the LLM will check if the prompt prefix is already stored in the cache.
ODSC - Open Data Science
OCTOBER 27, 2023
With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. The following diagram is how we visualize these IDP phases.
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