Achieve hyperscale performance for model serving using NVIDIA Triton Inference Server on Amazon SageMaker

Favorite Machine learning (ML) applications are complex to deploy and often require multiple ML models to serve a single inference request. A typical request may flow across multiple models with steps like preprocessing, data transformations, model selection logic, model aggregation, and postprocessing. This has led to the evolution of common

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Shared by AWS Machine Learning May 3, 2022

Identify paraphrased text with Hugging Face on Amazon SageMaker

Favorite Identifying paraphrased text has business value in many use cases. For example, by identifying sentence paraphrases, a text summarization system could remove redundant information. Another application is to identify plagiarized documents. In this post, we fine-tune a Hugging Face transformer on Amazon SageMaker to identify paraphrased sentence pairs in

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Shared by AWS Machine Learning April 29, 2022

How Searchmetrics uses Amazon SageMaker to automatically find relevant keywords and make their human analysts 20% faster

Favorite Searchmetrics is a global provider of search data, software, and consulting solutions, helping customers turn search data into unique business insights. To date, Searchmetrics has helped more than 1,000 companies such as McKinsey & Company, Lowe’s, and AXA find an advantage in the hyper-competitive search landscape. In 2021, Searchmetrics

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Shared by AWS Machine Learning April 29, 2022

Abode uses Amazon Rekognition Streaming Video Events to provide real-time notifications to their smart home customers

Favorite Abode Systems (Abode) offers homeowners a comprehensive suite of do-it-yourself home security solutions that can be set up in minutes and enables homeowners to keep their family and property safe. Since the company’s launch in 2015, in-camera motion detection sensors have played an essential part in Abode’s solution, enabling

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Shared by AWS Machine Learning April 29, 2022