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Tag: Deep Learning Model

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single...

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Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting | Amazon Web Services

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision...

Build a medical imaging AI inference pipeline with MONAI Deploy on AWS | Amazon Web Services

This post is cowritten with Ming (Melvin) Qin, David Bericat and Brad Genereaux from NVIDIA. Medical imaging AI researchers and developers need a scalable,...

Customize Amazon Textract with business-specific documents using Custom Queries | Amazon Web Services

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables...

From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker | Amazon Web Services

This post is co-authored by Anatoly Khomenko, Machine Learning Engineer, and Abdenour Bezzouh, Chief Technology Officer at Talent.com. Founded in 2011, Talent.com is one...

How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints | Amazon Web Services

Veriff is an identity verification platform partner for innovative growth-driven organizations, including pioneers in financial services, FinTech, crypto, gaming, mobility, and online marketplaces. They...

How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker | Amazon Web Services

In their own words, “In 1902, Willis Carrier solved one of mankind’s most elusive challenges of controlling the indoor environment through modern air conditioning....

FMOps/LLMOps: Operationalize generative AI and differences with MLOps | Amazon Web Services

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. However, bringing...

How Thomson Reuters developed Open Arena, an enterprise-grade large language model playground, in under 6 weeks | Amazon Web Services

This post is cowritten by Shirsha Ray Chaudhuri, Harpreet Singh Baath, Rashmi B Pawar, and Palvika Bansal from Thomson Reuters. Thomson Reuters (TR), a...

Boffins convert typing sounds into text with 95% accuracy

Researchers in the UK claim to have translated the sound of laptop keystrokes into their corresponding letters with 95 percent accuracy in some cases. That...

Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition | Amazon Web Services

Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. Use cases range from self-driving cars, content...

What is InferKit AI?

InferKit AI is an advanced artificial intelligence (AI) technology designed to generate human-like text based on the input provided. It's a powerful tool that...

Maximize Stable Diffusion performance and lower inference costs with AWS Inferentia2 | Amazon Web Services

Generative AI models have been experiencing rapid growth in recent months due to its impressive capabilities in creating realistic text, images, code, and audio....

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