AWS Machine Learning Blog

MARCH 30, 2023

Alex Williams is an applied scientist in the human-in-the-loop science team at AWS AI where he conducts interactive systems research at the intersection of human-computer interaction (HCI) and machine learning. Patrick Haffner is a Principal Applied Scientist with the AWS Sagemaker Ground Truth team.

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AWS Machine Learning Blog

OCTOBER 17, 2023

The Amazon Personalize Search Ranking plugin within OpenSearch Service allows you to improve the end-user engagement and conversion from your website and app search by taking advantage of the deep learning capabilities offered by Amazon Personalize. Technical Product Manager working with AWS AI/ML on the Amazon Personalize team.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is excited to announce the new Next Best Action ( aws-next-best-action ) recipe to help you determine the best actions to suggest to your individual users that will enable you to increase brand loyalty and conversion. Technical Product Manager working with AWS AI/ML on Amazon Personalize.

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AWS Machine Learning Blog

AUGUST 14, 2023

SageMaker JumpStart SageMaker JumpStart serves as a model hub encapsulating a broad array of deep learning models for text, vision, audio, and embedding use cases. With over 500 models, its model hub comprises both public and proprietary models from AWS’s partners such as AI21, Stability AI, Cohere, and LightOn.

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Flipboard

NOVEMBER 30, 2023

Although it provides various entry points like the SageMaker Python SDK, AWS SDKs, the SageMaker console, and Amazon SageMaker Studio notebooks to simplify the process of training and deploying ML models at scale, customers are still looking for better ways to deploy their models for playground testing and to optimize production deployments.

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AWS Machine Learning Blog

MAY 1, 2024

Llama2 by Meta is an example of an LLM offered by AWS. To learn more about Llama 2 on AWS, refer to Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart. Virginia) and US West (Oregon) AWS Regions, and most recently announced general availability in the US East (Ohio) Region.

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AWS Machine Learning Blog

MARCH 13, 2023

We introduce an AWS Lambda function as a proxy in front of the SageMaker endpoint to offer various types of data transformation. After provisioning this architecture and deploying our model using the AWS Cloud Development Kit (AWS CDK), we evaluated the latency characteristics of our model with different SageMaker instance types.

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Pickl AI

JULY 25, 2023

Skills and Tools of Data Scientists To excel in the field of Data Science, professionals need a diverse skill set, including: Programming Languages: Python, R, SQL, etc. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc.

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ODSC - Open Data Science

SEPTEMBER 22, 2023

He is responsible for defining and leading the business that extends the company’s semantic layer platform to address the rapidly expanding set of Enterprise AI and machine learning applications. He is an MIT graduate in Computer Science and Physics, as well as a former software engineer at Palantir Technologies.

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ODSC - Open Data Science

MAY 1, 2023

.` Hagay Lupesko VP Engineering, MosaicML | Expert in Generative AI Training and Inference, Former Leader at Meta AI and AWS In his role as VP of Engineering, Hagay Lupesko focuses on making generative AI training and inference efficient, fast, and accessible.

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AWS Machine Learning Blog

APRIL 27, 2023

About the Authors Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon. His research interests are 3D deep learning, and vision and language representation learning. He has a PhD in computer science at Cornell University. He is an ACM Fellow and IEEE Fellow.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

In this post, we show how the Carrier and AWS teams applied ML to predict faults across large fleets of equipment using a single model. We first highlight how we use AWS Glue for highly parallel data processing. AWS Glue allowed us to easily run parallel data preprocessing and feature extraction. Additionally, 10.4%

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AWS Machine Learning Blog

FEBRUARY 9, 2023

See the Amazon SageMaker geospatial capabilities to learn more. References [1] [link] [2] [link] [3] [link] About the Authors Xiong Zhou is a Senior Applied Scientist at AWS. He leads the science team for Amazon SageMaker geospatial capabilities. His current area of research includes computer vision and efficient model training.

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AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS. Conclusion.

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. Develop AI models using machine learning or deep learning algorithms. Machine learning and deep learning algorithms are commonly used in AI development.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

In terms of security, both the input and output are secured using TLS using AWS Sigv4 Auth. In this post, we showcase two container options to create a SageMaker endpoint with response streaming: using an AWS Large Model Inference (LMI) and Hugging Face Text Generation Inference (TGI) container.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

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PyImageSearch

OCTOBER 16, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Course information: 81 total classes • 109+ hours of on-demand code walkthrough videos • Last updated: October 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning.

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AWS Machine Learning Blog

JUNE 7, 2023

Libraries such as DeepSpeed (an open-source deep learning optimization library for PyTorch) address some of these challenges, and can help accelerate model development and training. Training setup We provisioned a managed compute cluster comprised of 16 dl1.24xlarge instances using AWS Batch.

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AWS Machine Learning Blog

OCTOBER 6, 2023

We use the Stability AI SDK to deploy this model from SageMaker JumpStart after subscribing to this model on the AWS marketplace. About the Authors Yanwei Cui , PhD, is a Senior Machine Learning Specialist Solutions Architect at AWS. Melanie Li, PhD, is a Senior AI/ML Specialist TAM at AWS based in Sydney, Australia.

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Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Prerequisites To continue with the examples in this post, you need to create the required AWS resources.

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

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, but the path to success is not always straightforward. We evaluated the performance of two AWS services Amazon Rekognition and Amazon Lookout for Vision.

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AWS Machine Learning Blog

APRIL 25, 2023

Furthermore, you don’t need to understand container lifecycle management and can simply run your workloads across different compute contexts (such as a local IDE, Studio, or training jobs) with minimal configuration overheads. He has an MS in Computer Science and his areas of interest are Computer Security, Distributed Systems and AI/ML.

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AWS Machine Learning Blog

MARCH 29, 2023

Input data is streamed from the plant via OPC-UA through SiteWise Edge Gateway in AWS IoT Greengrass. During the prototyping phase, HAYAT HOLDING deployed models to SageMaker hosting services and got endpoints that are fully managed by AWS. Take advantage of industry-specific innovations and solutions using AWS for Industrial.

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AWS Machine Learning Blog

MAY 30, 2023

About the authors Jesse Manders is a Senior Product Manager in the AWS AI/ML human in the loop services team. He has been in AWS for over 4 years, holding several product management leadership roles in SageMaker, S3 and IoT. Prior to AWS she worked in various engineering management roles at Oracle and Sun Microsystem.

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DrivenData Labs

JUNE 14, 2023

Yi Yang is a Professor with the college of computer science and technology, Zhejiang University. Our strong interest on deep metric learning motivated us to compete in this challenge. We believe VSC 2022 makes good social impact and is of great value to the deep learning research community.

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Flipboard

OCTOBER 9, 2023

AWS , GCP , Azure , DigitalOcean , etc.) Course information: 81 total classes • 109+ hours of on-demand code walkthrough videos • Last updated: October 2023 ★★★★★ 4.84 (128 Ratings) • 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning.

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O'Reilly Media

OCTOBER 19, 2021

Not only is data larger, but models—deep learning models in particular—are much larger than before. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. They are often built by data scientists who are not software engineers or computer science majors by training.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Mohamad Al Jazaery is an applied scientist at Amazon Machine Learning Solutions Lab. He helps AWS customers identify and build ML solutions to address their business challenges in areas such as logistics, personalization and recommendations, computer vision, fraud prevention, forecasting and supply chain optimization.

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AWS Machine Learning Blog

MAY 24, 2023

You can efficiently deploy the pre-trained J2-jumbo-instruct, or other Jurassic-2 models available on AWS Marketplace, into your own own virtual private cloud (VPC) using Amazon SageMaker. 24xlarge") # Create a Sgaemkaer endpoint then deploy a pre-trained J2-jumbo-instruct-v1 model from AWS Market Place.

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AWS Machine Learning Blog

MAY 2, 2023

For a list of NVIDIA Triton Deep Learning Containers (DLCs) supported by SageMaker inference, refer to Available Deep Learning Containers Images. He specializes in machine learning, AI, and computer vision domains, and holds a master’s degree in Computer Science from UT Dallas.

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AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. He focuses on developing scalable machine learning algorithms. We also manufacture and sell electronic devices.

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AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. He focuses on developing scalable machine learning algorithms. We also manufacture and sell electronic devices.

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AWS Machine Learning Blog

SEPTEMBER 21, 2023

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab , build an active learning framework on AWS to automate the processing of passenger documents. “In The following diagram illustrates this architecture. jpg", "textract-ref": "s3://bucket/textract/passport-0.jpg",

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The MLOps Blog

OCTOBER 3, 2023

Mikiko Bazeley: Most people are really surprised to hear that my background in college was not computer science. With the full-stack deep learning course, there were some TAs there who were absolutely amazing. For example, you can use BigQuery , AWS , or Azure. How awful are they?” I really enjoyed it.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. The following diagram shows the workflow for our email classifier project, but can also be generalized to other data science projects. Use Version 2.x

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. Founded in 2021, ThirdAI Corp.

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