AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia.

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AWS Machine Learning Blog

JUNE 13, 2023

The size of the machine learning (ML) models––large language models ( LLMs ) and foundation models ( FMs )–– is growing fast year-over-year , and these models need faster and more powerful accelerators, especially for generative AI. With AWS Inferentia1, customers saw up to 2.3x With AWS Inferentia1, customers saw up to 2.3x

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AWS Machine Learning Blog

NOVEMBER 26, 2024

We use AWS Fargate to run CPU inferences and other supporting components, usually alongside a comprehensive frontend API. Hasan Ali Demirci is a Staff Engineer at Rad AI, specializing in software and infrastructure for machine learning. This complexity is typically required for an ML organization to provide product-side functionality.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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AWS Machine Learning Blog

MAY 10, 2023

Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter. In parallel to these open-source contributions, we have AWS product teams who are working to integrate Jupyter with products such as Amazon SageMaker.

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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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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. The DJL was created at Amazon and open-sourced in 2019. The architecture of DJL is engine agnostic.

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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. Together, these elements lead to the start of a period of dramatic progress in ML, with NN being redubbed deep learning. Thirdly, the presence of GPUs enabled the labeled data to be processed.

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Mlearning.ai

JUNE 7, 2023

These Cores accelerate matrix operations and are specifically designed to boost deep learning training and inference performance. These Cores accelerate matrix operations and are specifically designed to boost deep learning training and inference performance. Inf1 accelerators can deliver up to 2.3x

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. To train this model, we need a labeled ground truth subset of the Low Altitude Disaster Imagery (LADI) dataset.

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Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We evaluated the WAPE for all BLs in the auto end market for 2019, 2020, and 2021.

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AWS Machine Learning Blog

MARCH 13, 2023

In 2019, we released an ML-powered interactive labeling tool called Auto-segment for Ground Truth that allows you to quickly and easily create high-quality segmentation masks. We introduce an AWS Lambda function as a proxy in front of the SageMaker endpoint to offer various types of data transformation.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Advances in neural information processing systems 32 (2019). Journal of machine learning research 9, no. Mohamad Al Jazaery is an applied scientist at Amazon Machine Learning Solutions Lab. Prior to AWS, he obtained his MCS from West Virginia University and worked as computer vision researcher at Midea.

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Mlearning.ai

JUNE 14, 2023

YouTube Introduction to Sequence Learning and Attention Mechanisms Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 8 — Translation, Seq2Seq, Attention — YouTube Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 — Translation, Seq2Seq, Attention — YouTube 2.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

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Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

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The MLOps Blog

AUGUST 3, 2023

For example, let’s take Airflow , AWS SageMaker pipelines. Stefan: Back in 2019. Using Hamilton for Deep Learning & Tabular Data Piotr: Previously you mentioned you’ve been working on over 1000 features that are manually crafted, right? How is it [DAGWorks solution] different from what is popular today?

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AWS Machine Learning Blog

FEBRUARY 11, 2025

Today, AWS AI released GraphStorm v0.4. Prerequisites To run this example, you will need an AWS account, an Amazon SageMaker Studio domain, and the necessary permissions to run BYOC SageMaker jobs. Using SageMaker Pipelines to train models provides several benefits, like reduced costs, auditability, and lineage tracking. million edges.

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AWS Machine Learning Blog

OCTOBER 11, 2024

You can set up the notebook in any AWS Region where Amazon Bedrock Knowledge Bases is available. You also need an AWS Identity and Access Management (IAM) role assigned to the SageMaker Studio domain. Configure Amazon SageMaker Studio The first step is to set up an Amazon SageMaker Studio notebook to run the code for this post.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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