Artificial Intelligence
Author: Sathya Balakrishnan
Streamline deep learning environments with Amazon Q Developer and MCP
In this post, we explore how to use Amazon Q Developer and Model Context Protocol (MCP) servers to streamline DLC workflows to automate creation, execution, and customization of DLC containers.
Improve prediction quality in custom classification models with Amazon Comprehend
In this post, we explain how to build and optimize a custom classification model using Amazon Comprehend. We demonstrate this using an Amazon Comprehend custom classification to build a multi-label custom classification model, and provide guidelines on how to prepare the training dataset and tune the model to meet performance metrics such as accuracy, precision, recall, and F1 score.
Amazon Translate enhances its custom terminology to improve translation accuracy and fluency
Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. When you translate from one language to another, you want your machine translation to be accurate, fluent, and most importantly contextual. Domain-specific and language-specific customizable terminology is a key requirement for many government and commercial organizations. Custom terminology […]
Translate documents in real time with Amazon Translate
A critical component of business success is the ability to connect with customers. Businesses today want to connect with their customers by offering their content across multiple languages in real time. For most customers, the content creation process is disconnected from the localization effort of translating content into multiple target languages. These disconnected processes delay […]
Improve data extraction and document processing with Amazon Textract
Intelligent document processing (IDP) has seen widespread adoption across enterprise and government organizations. Gartner estimates the IDP market will grow more than 100% year over year, and is projected to reach $4.8 billion in 2022. IDP helps transform structured, semi-structured, and unstructured data from a variety of document formats into actionable information. Processing unstructured data […]
Build a multi-lingual document translation workflow with domain-specific and language-specific customization
In the digital world, providing information in a local language isn’t novel, but it can be a tedious and expensive task. Advancements in machine learning (ML) and natural language processing (NLP) have made this task much easier and less expensive. We have seen increased adoption of ML for multi-lingual data and document processing workloads. Enterprise […]