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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AWS Machine Learning Blog

MARCH 1, 2023

In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker. It was launched in June 2021 and has been ranked within the top three in revenue in Korea.

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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

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. Optionally, deploy the application using AWS Amplify. Choose Deploy.

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage.

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AWS Machine Learning Blog

MAY 30, 2023

Cost optimization is one of the pillars of the AWS Well-Architected Framework , and it’s a continual process of refinement and improvement over the span of a workload’s lifecycle. AWS is dedicated to helping you achieve the highest savings by offering extensive service and pricing options.

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands. 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. Use Version 2.x

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and improve visibility of their machine learning (ML) workloads’ cost and usage. The instance rate is $0.24/hour

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AWS Machine Learning Blog

JUNE 7, 2023

For example, GPT-3 (2020) and BLOOM (2022) feature around 175 billion parameters, Gopher (2021) has 230 billion parameters, and MT-NLG (2021) 530 billion parameters. In the next sections, we describe the optimizations TII conducted at all layers of the deep learning (DL) training system. In 2022, Hoffman et al.

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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

FEBRUARY 25, 2025

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. Model architecture The model consists of three densely connected layers.

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Inference example with and without fine-tuning The following table contains the results of the Mistral 7B model fine-tuned with SEC filing documents of Amazon from 2021–2022. We have organized our operations into three segments: North America, International, and AWS. For details, see the example notebook.

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DrivenData Labs

JUNE 14, 2023

His research interest is deep metric learning and computer vision. Prior to Baidu, he was a Research Intern in Baidu Research from 2021 to 2022 and a Remote Research Intern in Inception Institute of Artificial Intelligence from 2020 to 2021. His research interests focus on deep representation learning, data problem (e.g.,

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AWS Machine Learning Blog

DECEMBER 20, 2023

Because the models are hosted and deployed on AWS, you can rest assured that your data, whether used for evaluating or using the model at scale, is never shared with third parties. AWS does not make any representations, warranties, or guarantees that any information in this guidance will result in a particular outcome or result.

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Heartbeat

FEBRUARY 27, 2023

Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. 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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AWS Machine Learning Blog

FEBRUARY 9, 2023

We use the TimeRangeFilter to select data from January 2021 to July 2022. The water surface area clearly decreased between February 2021 and July 2022. 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.

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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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ODSC - Open Data Science

MAY 1, 2023

She is the recipient numerous awards, including the 2021 ACM Grace Murray Hopper Award, a Sloan Foundation Fellowship award, Jay Lepreau Best Paper Award at OSDI 2021, Distinguished Paper Award at IEEE Euro S&P 2022 and was recognized by Technology Review as one of the 35 Innovators under 35. .`

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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. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

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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. We select Amazon’s SEC filing reports for years 2021–2022 as the training data to fine-tune the GPT-J 6B model.

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Pickl AI

NOVEMBER 27, 2024

It is widely recognised for its role in Machine Learning, data manipulation, and automation, making it a favourite among Data Scientists, developers, and researchers. In 2021, the global Python market reached a valuation of USD 3.6 million and is projected to grow significantly, with an expected market size of USD 100.6

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The MLOps Blog

MARCH 21, 2023

Reasonable scale ML platform In 2021, Jacopo Tagliabue coined the term “reasonable scale,” which refers to companies that: Have ML models that generate hundreds of thousands to tens of millions of US dollars per year (rather than hundreds of millions or billions). Allegro.io

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AWS Machine Learning Blog

AUGUST 14, 2023

Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production. Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then. Question: When was NLP Cloud founded?

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DrivenData Labs

MAY 1, 2025

Solvers used 2016 demographics, economic circumstances, migration, physical limitations, self-reported health, and lifestyle behaviors to predict a composite cognitive function score in 2021. Next, for participants who had been tested in 2016, I estimated their 2021 scores by adding the predicted score difference to their 2016 scores.

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The MLOps Blog

AUGUST 11, 2023

As usage increased, the system had to be scaled vertically, approaching AWS instance-type limits. Model parallelism is used within machine learning pipelines to efficiently utilize compute resources when the deep learning model is too large to be held on a single instance of GPU or CPU.

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Flipboard

APRIL 17, 2025

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. To learn more, see Revolutionizing AI: How Amazon SageMaker Enhances Einsteins Large Language Model Latency and Throughput.

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Data Science Dojo

FEBRUARY 21, 2025

Tesla Dojo is Tesla’s groundbreaking AI supercomputer, purpose-built to train deep neural networks for autonomous driving. First unveiled during Teslas AI Day in 2021, Dojo represents a leap in Teslas mission to enhance its Full Self-Driving (FSD) and Autopilot systems. What is Tesla Dojo?

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AWS Machine Learning Blog

DECEMBER 2, 2024

Over the past decade, advancements in deep learning have spurred a shift toward so-called global models such as DeepAR [3] and PatchTST [4]. AutoGluon predictors can be seamlessly deployed to SageMaker using AutoGluon-Cloud and the official Deep Learning Containers. Journal of Machine Learning Research 21, no.

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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 26, 2024

About the Authors Benoit de Patoul is a GenAI/AI/ML Specialist Solutions Architect at AWS. Naresh Nagpal is a Solutions Architect at AWS with extensive experience in application development, integration, and technology architecture. In his free time, he likes to play piano and spend time with friends.

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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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