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Tag: AWS Machine Learning

Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and...

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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...

Learn how to assess the risk of AI systems | Amazon Web Services

Artificial intelligence (AI) is a rapidly evolving field with the potential to improve and transform many aspects of society. In 2023, the pace of...

Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems | Amazon Web Services

This post was co-written with Anthony Medeiros, Manager of Solutions Engineering and Architecture for North America Artificial Intelligence, and Blake Santschi, Business Intelligence Manager,...

T-Mobile US, Inc. uses artificial intelligence through Amazon Transcribe and Amazon Translate to deliver voicemail in the language of their customers’ choice | Amazon...

This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and...

How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services

This is a guest post co-written by Rama Badrinath, Divay Jindal and Utkarsh Agrawal at Meesho. Meesho is India’s fastest growing ecommerce company...

How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab, build an active learning framework on AWS...

Improving asset health and grid resilience using machine learning | Amazon Web Services

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business,...

Deploy thousands of model ensembles with Amazon SageMaker multi-model endpoints on GPU to minimize your hosting costs | Amazon Web Services

Artificial intelligence (AI) adoption is accelerating across industries and use cases. Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative...

AWS offers new artificial intelligence, machine learning, and generative AI guides to plan your AI strategy | Amazon Web Services

Breakthroughs in artificial intelligence (AI) and machine learning (ML) have been in the headlines for months—and for good reason. The emerging and evolving capabilities...

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker | Amazon Web Services

This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. When machine learning (ML) models are deployed into production and employed...

SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions | Amazon Web Services

At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American...

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation | Amazon Web Services

Dive into Deep Learning (D2L.ai) is an open-source textbook that makes deep learning accessible to everyone. It features interactive Jupyter notebooks with self-contained code...

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