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

FEBRUARY 29, 2024

Although this stunning progress in artificial intelligence remains remarkable, the financial costs and energy consumption required to train these models has emerged as a critical bottleneck due to the need for specialized hardware like GPUs. Instance types For our evaluation, we considered two comparable AWS CPU instances: a c6i.8xlarge

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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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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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Clustering AWS AI AI 101

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

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

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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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

MAY 29, 2025

It also comes with ready-to-deploy code samples to help you get started quickly with deploying GeoFMs in your own applications on AWS. For a full architecture diagram demonstrating how the flow can be implemented on AWS, see the accompanying GitHub repository. Lets dive in! Solution overview At the core of our solution is a GeoFM.

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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

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

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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Data Science 101

NOVEMBER 11, 2019

SQL Server 2019 SQL Server 2019 went Generally Available. Call for Research Proposals Amazon is seeking proposals impact research in the Artificial Intelligence and Machine Learning areas. Call for Research Proposals Amazon is seeking proposals impact research in the Artificial Intelligence and Machine Learning areas.

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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

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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AWS Machine Learning Blog

JULY 9, 2024

In the financial services industry, we hear customers ask which model to choose for their financial domain generative artificial intelligence (AI) applications. of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. In his spare time, he likes reading and teaching.

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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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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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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

MAY 17, 2023

AWS delivers services that meet customers’ artificial intelligence (AI) and machine learning (ML) needs with services ranging from custom hardware like AWS Trainium and AWS Inferentia to generative AI foundation models (FMs) on Amazon Bedrock. Sub ${AWS::StackName}-SageMakerModel Containers: - Image: !Ref

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Towards AI

APRIL 19, 2024

Generative Artificial Intelligence is guiding the forward for businesses worldwide. Generative AI, being an excellent successor of Artificial Intelligence, has made its presence felt with ever-amazing explorations. Get a closer view of the top generative AI companies making waves in 2024.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application.

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AWS Machine Learning Blog

APRIL 19, 2024

We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution. In this series, we use the slide deck Train and deploy Stable Diffusion using AWS Trainium & AWS Inferentia from the AWS Summit in Toronto, June 2023 to demonstrate the solution. I need numbers."

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. We use AWS Lambda as our orchestration function responsible for interacting with various data sources, LLMs and error correction based on the user query. What does the future hold?

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Mlearning.ai

APRIL 16, 2023

Harnessing the Power of fine tuned Foundation Models for adding Generative AI capabilities to your application The field of artificial intelligence (AI) has been making waves across various industries, and customers are rushing to incorporate Generative AI capabilities in their application.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Sovik Kumar Nath is an AI/ML and Generative AI Senior Solutions Architect with AWS. Jennifer Zhu is a Senior Applied Scientist at AWS Bedrock, where she helps building and scaling generative AI applications with foundation models. She innovates and applies machine learning to help AWS customers speed up their AI and cloud adoption.

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AWS Machine Learning Blog

JULY 29, 2024

Launched in August 2019, Forecast predates Amazon SageMaker Canvas , a popular low-code no-code AWS tool for building, customizing, and deploying ML models, including time series forecasting models. For more information about AWS Region availability, see AWS Services by Region.

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AWS Machine Learning Blog

MARCH 31, 2023

Also, the introduction of federal REAL ID requirements in 2019 resulted in increased call volumes from drivers with questions. The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution. We’d love to hear from you. Let us know what you think in the comments section.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

And finally, some activities, such as those involved with the latest advances in artificial intelligence (AI), are simply not practically possible, without hardware acceleration. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU.

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AWS Machine Learning Blog

JULY 3, 2024

To answer this question, the AWS Generative AI Innovation Center recently developed an AI assistant for medical content generation. 2019 Apr;179(4):561-569. Epub 2019 Jan 31. Liza (Elizaveta) Zinovyeva is an Applied Scientist at AWS Generative AI Innovation Center and is based in Berlin. Am J Med Genet A. Int J Nurs Stud.

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AWS Machine Learning Blog

APRIL 4, 2023

AWS provides various services catered to time series data that are low code/no code, which both machine learning (ML) and non-ML practitioners can use for building ML solutions. Chong En Lim is a Solutions Architect at AWS. Egor Miasnikov is a Solutions Architect at AWS based in Germany. References Dua, D. and Graff, C.

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Data Science Blog

NOVEMBER 15, 2023

van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation. on Microsoft Azure, AWS, Google Cloud Platform or SAP Dataverse) significantly improve data utilization and drive effective business outcomes. Click to enlarge!

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ODSC - Open Data Science

AUGUST 4, 2023

Recently, we spoke with Emily Webber, Principal Machine Learning Specialist Solutions Architect at AWS. She’s the author of “Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS.” And then I spent many years working with customers.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Modern, state-of-the-art time series forecasting enables choice To meet real-world forecasting needs, AWS provides a broad and deep set of capabilities that deliver a modern approach to time series forecasting. AWS services address this need by the use of ML models coupled with quantile regression. References DeYong, G.

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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

SEPTEMBER 10, 2024

We provide insights on interpretability, robustness, and best practices of architecting complex ML workflows on AWS with Amazon SageMaker. by AWS, which aimed to mitigate the limitations of PORPOISE. Each environment sits in its own isolated AWS account. 2022 ) was implemented (Section 2.1). per cancer type in survival analysis.

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