Flipboard

APRIL 23, 2025

To assist in this effort, AWS provides a range of generative AI security strategies that you can use to create appropriate threat models. For all data stored in Amazon Bedrock, the AWS shared responsibility model applies.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

AWS DeepComposer was first introduced during AWS re:Invent 2019 as a fun way for developers to compose music by using generative AI. After careful consideration, we have made the decision to end support for AWS DeepComposer, effective September 17, 2025. About the author Kanchan Jagannathan is a Sr.

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Data Science 101

MAY 23, 2019

Here is the latest data science news for May 2019. Microsoft Build 2019 – This is a huge conference hosted by Microsoft for the developer community. Google I/O 2019 Videos – Google’s big annual conference. From Data Science 101. General Data Science. Many of the presentation are available to watch online.

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Data Science 101

DECEMBER 2, 2019

AWS re:Invent 2019 starts today. It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Parts of the event will be livestreamed , so you can watch from anywhere. Based upon the announcements last week , there will probably be a lot of focus around machine learning and deep learning.

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AWS Machine Learning Blog

MAY 10, 2024

And that’s where AWS DeepRacer comes into play—a fun and exciting way to learn ML fundamentals. By exploring the AWS DeepRacer ML training lifecycle, you’ll practice model training, evaluation, and deployment of ML models onto a 1/18th scale autonomous race car, using a human-in-the-loop experience.

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AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. As shown in our results, we observed a significant training speedup with AWS Graviton3 over the comparable Intel and NVIDIA instances on several representative modeling workloads.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models.

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AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages.

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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. 2048 256 10.4

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Flipboard

JANUARY 14, 2025

The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents. At AWS, he led the Dialog2API project, which enables large language models to interact with the external environment through dialogue.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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Flipboard

MARCH 3, 2025

In 2019, Volkswagen AG (VW) and Amazon Web Services (AWS) formed a strategic collaboration to develop the Digital Production Platform (DPP), designed

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AWS Machine Learning Blog

JUNE 13, 2023

AWS Inferentia2 was designed from the ground up to deliver higher performance while lowering the cost of LLMs and generative AI inference. In this post, we show how the second generation of AWS Inferentia builds on the capabilities introduced with AWS Inferentia1 and meets the unique demands of deploying and running LLMs and FMs.

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AWS Machine Learning Blog

MARCH 25, 2025

According to Gartner , the average desk worker now uses 11 applications to complete their tasks, up from just 6 in 2019. This is why AWS announced the Amazon Q index for ISVs at AWS re:Invent 2024. The process involves three simple steps: The ISV registers with AWS a data accessor.

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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

NOVEMBER 26, 2024

We use AWS Fargate to run CPU inferences and other supporting components, usually alongside a comprehensive frontend API. Since joining as an early engineer hire in 2019, he has steadily worked on the design and architecture of Rad AI’s online inference systems.

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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

DECEMBER 18, 2024

Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019. Fine-tuning Mistral 7B on AWS Fastweb recognized the importance of developing language models tailored to the Italian language and culture.

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AWS Machine Learning Blog

AUGUST 7, 2023

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. Unfortunately, as in the real world, not all players communicate appropriately and respectfully.

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KDnuggets

SEPTEMBER 25, 2019

And as these implementations have required models that can perform on larger and larger datasets in real-time, an awful lot of data science problems have become engineering problems.

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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. Principal Technologist at AWS.

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Towards AI

AUGUST 10, 2023

PC Magazine: # 4 Companies Control 67% of the World’s Cloud Infrastructure Amazon Web Services: The Swiss Army Knife Approach With its vast array of cloud infrastructure offerings and unrivaled scale, Amazon Web Services (AWS) has firmly established itself as the dominant player in the space. Enter Amazon Bedrock, launched in April 2023.

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DataCentric podcast

DECEMBER 9, 2019

Amazon's massive AWS ReInvent Conference is nearly overwhelming in its breadth and scope, with dozens of announcements spanning numerous areas, from ARM to AI to on-premises Outpost.

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Data Science 101

NOVEMBER 7, 2019

It is now possible to deploy an Azure SQL Database to a virtual machine running on Amazon Web Services (AWS) and manage it from Azure. This allows Azure to manage a completely hybrid infrastructure of: Azure, on-premise, IoT, and other cloud environments. It’s true, I saw it happen this week. R Support for Azure Machine Learning.

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Data Science 101

NOVEMBER 11, 2019

SQL Server 2019 SQL Server 2019 went Generally Available. If you are at a University or non-profit, you can ask for cash and/or AWS credits. AWS Parallel Cluster for Machine Learning AWS Parallel Cluster is an open-source cluster management tool. It can be used to do distributed Machine Learning on AWS.

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AWS Machine Learning Blog

JULY 9, 2024

In the following example, for an LLM to answer the question correctly, it needs to understand the table row represents location and the column represents year, and then extract the correct quantity (total amount) from the table based on the asked location and year: Question : What was the Total Americas amount in 2019?

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AWS Machine Learning Blog

FEBRUARY 19, 2024

Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base. Create a Lambda function This Lambda function is deployed using an AWS CloudFormation template available in the GitHub repo under the /cfn folder.

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Data Science 101

NOVEMBER 22, 2019

AWS Storage Day On November 20, 2019, Amazon held AWS Storage Day. Many announcements came out regarding storage of all types at AWS. Much of this is in anticipation of AWS re:Invent, coming in early December 2019. Much of this is in anticipation of AWS re:Invent, coming in early December 2019.

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AWS Machine Learning Blog

APRIL 9, 2024

In the following sections, we explain how you can use these features with either the AWS Management Console or SDK. The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. We ask “What was the Amazon’s revenue in 2019 and 2021?”

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AWS Machine Learning Blog

OCTOBER 2, 2023

On top of that, the whole process can be configured and managed via the AWS SDK, which is what we use to orchestrate our labeling workflow as part of our CI/CD pipeline. For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth.

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Hacker News

SEPTEMBER 15, 2024

Amazon Web Services (AWS) got there ahead of most of the competition, when they purchased chip designer Annapurna Labs in 2015 and proceeded to design CPUs, AI accelerators, servers, and data centers as a vertically-integrated operation. Rami Sinno AWS Rami Sinno : Amazon is my first vertically integrated company. Tell no one.”

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AWS Machine Learning Blog

MARCH 28, 2024

For more information on Mixtral-8x7B Instruct on AWS, refer to Mixtral-8x7B is now available in Amazon SageMaker JumpStart. Before you get started with the solution, create an AWS account. This identity is called the AWS account root user. The Mixtral-8x7B model is made available under the permissive Apache 2.0

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Data Science 101

JANUARY 3, 2020

Machine Learning with Kubernetes on AWS A talk from Container Day 2019 in San Diego. A First Look at AWS Data Exchange (Webinar) AWS Data Exchange is a product for finding and using third party data. No significant news to report. Hopefully some releases and announcements will be coming next week. Courses/Education.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

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AWS Machine Learning Blog

JULY 17, 2024

AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. About the Authors Shashi Raina is a Senior Partner Solutions Architect at Amazon Web Services (AWS), where he specializes in supporting generative AI (GenAI) startups. Start building with Cohere’s fine-tuning model in SageMaker today.

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