Generative Data Intelligence

Tag: Amazon Machine Learning

Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock | Amazon Web Services

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs)....

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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...

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,...

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 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...

Fine-tune Falcon 7B and other LLMs on Amazon SageMaker with @remote decorator | Amazon Web Services

Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output,...

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....

Train self-supervised vision transformers on overhead imagery with Amazon SageMaker | Amazon Web Services

This is a guest blog post co-written with Ben Veasey, Jeremy Anderson, Jordan Knight, and June Li from Travelers. Satellite and aerial images provide...

Host the Spark UI on Amazon SageMaker Studio | Amazon Web Services

Amazon SageMaker offers several ways to run distributed data processing jobs with Apache Spark, a popular distributed computing framework for big data processing. You...

Enel automates large-scale power grid asset management and anomaly detection using Amazon SageMaker | Amazon Web Services

This is a guest post by Mario Namtao Shianti Larcher, Head of Computer Vision at Enel. Enel, which started as Italy’s national entity for...

Technology Innovation Institute trains the state-of-the-art Falcon LLM 40B foundation model on Amazon SageMaker | Amazon Web Services

This blog post is co-written with Dr. Ebtesam Almazrouei, Executive Director–Acting Chief AI Researcher of the AI-Cross Center Unit and Project Lead for LLM...

Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK | Amazon Web Services

The Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning (ML) models on Amazon SageMaker. Enterprise customers in tightly...

How RallyPoint and AWS are personalizing job recommendations to help military veterans and service providers transition back into civilian life using Amazon Personalize

This post was co-written with Dave Gowel, CEO of RallyPoint. In his own words, “RallyPoint is an online social and professional network for veterans,...

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