Tag: Amazon Comprehend
Moderate audio and text chats using AWS AI services and LLMs | Amazon Web Services
Online gaming and social communities offer voice and text chat functionality for their users to communicate. Although voice and text chat often support friendly...
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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra | Amazon Web Services
Structured data, defined as data following a fixed pattern such as information stored in columns within databases, and unstructured data, which lacks a specific...
Easily build semantic image search using Amazon Titan | Amazon Web Services
Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they...
Simplify data prep for generative AI with Amazon SageMaker Data Wrangler | Amazon Web Services
Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts...
Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence | Amazon Web Services
The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for...
Build well-architected IDP solutions with a custom lens – Part 2: Security | Amazon Web Services
Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps...
Build well-architected IDP solutions with a custom lens – Part 3: Reliability | Amazon Web Services
The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching...
Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization | Amazon Web Services
Building a production-ready solution in the cloud involves a series of trade-off between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework...
Build well-architected IDP solutions with a custom lens – Part 6: Sustainability | Amazon Web Services
An intelligent document processing (IDP) project typically combines optical character recognition (OCR) and natural language processing (NLP) to automatically read and understand documents. Customers...
Flag harmful content using Amazon Comprehend toxicity detection | Amazon Web Services
Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners...
Build trust and safety for generative AI applications with Amazon Comprehend and LangChain | Amazon Web Services
We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. LLMs are capable...
Use machine learning without writing a single line of code with Amazon SageMaker Canvas | Amazon Web Services
In the recent past, using machine learning (ML) to make predictions, especially for data in the form of text and images, required extensive ML...
How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale | Amazon Web Services
Today, personally identifiable information (PII) is everywhere. PII is in emails, slack messages, videos, PDFs, and so on. It refers to any data or...