AWS Machine Learning Blog

JUNE 25, 2024

Amazon Web Services is excited to announce the launch of the AWS Neuron Monitor container , an innovative tool designed to enhance the monitoring capabilities of AWS Inferentia and AWS Trainium chips on Amazon Elastic Kubernetes Service (Amazon EKS).

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

To address customer needs for high performance and scalability in deep learning, generative AI, and HPC workloads, we are happy to announce the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5e instances, powered by NVIDIA H200 Tensor Core GPUs. Karthik Venna is a Principal Product Manager at AWS.

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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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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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AWS Machine Learning Blog

JUNE 18, 2024

Some examples include extracting players and positions in an NFL game summary, products mentioned in an AWS keynote transcript, or key names from an article on a favorite tech company. We extract the default generic entities through the AWS SDK for Python (Boto3) as follows: import pandas as pd comprehend_client = boto3.client("comprehend")

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ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

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Towards AI

JANUARY 6, 2025

Professional certificate for computer science for AI by HARVARD UNIVERSITY Professional certificate for computer science for AI is a 5-month AI course that is inclusive of self-paced videos for participants; who are beginners or possess intermediate-level understanding of artificial intelligence.

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AWS Machine Learning Blog

MAY 31, 2024

Falcon 2 11B is supported by the SageMaker TGI Deep Learning Container (DLC) which is powered by Text Generation Inference (TGI) , an open source, purpose-built solution for deploying and serving LLMs that enables high-performance text generation using tensor parallelism and dynamic batching. Avan Bala is a Solutions Architect at AWS.

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AWS Machine Learning Blog

MARCH 8, 2023

The workflow steps are as follows: Set up a SageMaker notebook and an AWS Identity and Access Management (IAM) role with appropriate permissions to allow SageMaker to access Amazon Elastic Container Registry (Amazon ECR), Secrets Manager, and other services within your AWS account. AWS Region Link us-east-1 (N.

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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

SEPTEMBER 13, 2024

Multimodal is a type of deep learning using multiple modalities of data, such as text, audio, or images. This feature is available in all AWS Regions where SageMaker is available. To learn more about deploying models on SageMaker, see Amazon SageMaker Model Deployment. gpu-py311-cu121-ubuntu20.04-sagemaker.

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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

APRIL 18, 2023

MLSL’s high caliber talent, culture, and focus on aiding our realization of measurable and compelling results from machine learning investments enabled us to reduce suicide risk, improve career transition, and speed up important connections for our service members, veterans, and their families.” Applied AI Specialist Architect at AWS.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. They’re looking for people who know all related skills, and have studied computer science and software engineering.

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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 22, 2023

For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”. About the Authors Weifeng Chen is an Applied Scientist in the AWS Human-in-the-loop science team. Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. at a minimum).

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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

OCTOBER 27, 2023

AWS AI services, such as Amazon Personalize and Amazon Bedrock, can help recommend and deliver products, content, and compelling marketing messages personalized to your users. For more information on working with generative AI on AWS, see to Announcing New Tools for Building with Generative AI on AWS. Jingwen Hu is a Sr.

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AWS Machine Learning Blog

AUGUST 9, 2024

This post provides an overview of a custom solution developed by the AWS Generative AI Innovation Center (GenAIIC) for Deltek , a globally recognized standard for project-based businesses in both government contracting and professional services. For technical support or to contact AWS generative AI specialists, visit the GenAIIC webpage.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics.

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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

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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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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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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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

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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AWS Machine Learning Blog

MAY 29, 2024

DeepSpeed is a library that helps train very large deep learning models faster and more efficiently. Reference LLaVA Visual Instruction Tuning (pdf) About the Authors Dr. Changsha Ma is an AI/ML Specialist at AWS. Jun Shi is a Senior Solutions Architect at Amazon Web Services (AWS).

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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

SEPTEMBER 12, 2024

In this post, we explore the journey that Thomson Reuters took to enable cutting-edge research in training domain-adapted large language models (LLMs) using Amazon SageMaker HyperPod , an Amazon Web Services (AWS) feature focused on providing purpose-built infrastructure for distributed training at scale.

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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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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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AssemblyAI

AUGUST 29, 2024

Speech-to-text technology relies on a combination of linguistics, computer science, and artificial intelligence to function. Modern speech-to-text systems often use machine learning algorithms (particularly deep learning neural networks) to improve their accuracy and adapt to different accents, languages, and speech patterns.  Try

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Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

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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

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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