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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. This post focuses on the Cost Optimization pillar of the IDP solution.
However, they’re unable to gain insights such as using the information locked in the documents for largelanguagemodels (LLMs) or search until they extract the text, forms, tables, and other structured data. When the script ends, a completion status along with the time taken will be returned to the SageMaker studio console.
Amazon Q Business is a conversational assistant powered by generative AI that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. This step is performed by the IAM or security administrator in your organization.
Next, you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach, where relevant passages are delivered with high accuracy to a largelanguagemodel (LLM). You also need to hire and staff a large team to build, maintain, and manage such a system. Choose Create application.
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