AWS Machine Learning Blog

OCTOBER 1, 2024

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. The following figure highlights where AWS lands in the DSML Magic Quadrant.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Since launching in June 2023, the AWS Generative AI Innovation Center team of strategists, data scientists, machine learning (ML) engineers, and solutions architects have worked with hundreds of customers worldwide, and helped them ideate, prioritize, and build bespoke solutions that harness the power of generative AI.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working to support the communities where it does business and build a diverse, inclusive workforce. The following diagram illustrates the Principal generative AI chatbot architecture with AWS services.

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AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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Dataconomy

MARCH 19, 2024

Get ready to dive into the latest advancements in artificial intelligence as we unpack everything unveiled at GTC 2024, the premier AI conference for developers, business leaders, and AI researchers. Integration of the new NVIDIA Blackwell GPU platform into AWS infrastructure is announced, enhancing generative AI capabilities.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can try out the models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. The model is deployed in an AWS secure environment and under your virtual private cloud (VPC) controls, helping provide data security.

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AWS Machine Learning Blog

OCTOBER 31, 2024

Previously, setting up a custom labeling job required specifying two AWS Lambda functions: a pre-annotation function, which is run on each dataset object before it’s sent to workers, and a post-annotation function, which is run on the annotations of each dataset object and consolidates multiple worker annotations if needed.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. times larger and 1.4 times faster than H100 GPUs.

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AWS Machine Learning Blog

MAY 7, 2024

Based on a survey conducted by American Express in 2023, 41% of business meetings are expected to take place in hybrid or virtual format by 2024. Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

Amazon Lookout for Equipment , the AWS machine learning (ML) service designed for industrial equipment predictive maintenance, will no longer be open to new customers effective October 17, 2024. For an out-of-the-box solution, the AWS Partner Network offers solutions from multiple partners.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

Our solution aims to address those challenges using Amazon Bedrock and AWS Analytics Services. To address the challenges, our solution first incorporates the metadata of the data sources within the AWS Glue Data Catalog to increase the accuracy of the generated SQL query. Install the AWS Command Line Interface (AWS CLI).

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AWS Machine Learning Blog

OCTOBER 1, 2024

Amazon Monitron , the Amazon Web Services (AWS) machine learning (ML) service for industrial equipment condition monitoring, will no longer be available to new customers effective October 31, 2024. More details can be found in the following resources at AWS Partner Network. Product Manager for Monitron, at AWS.

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Dataconomy

JULY 11, 2024

In 2024, several technologies are set to revolutionize the way we develop mobile apps, enhancing performance, security, and user experience. Machine learning frameworks Frameworks like TensorFlow Lite and Core ML allow developers to integrate machine learning models into mobile apps.

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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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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this post, we demonstrate how to build a robust real-time anomaly detection solution for streaming time series data using Amazon Managed Service for Apache Flink and other AWS managed services. This solution employs machine learning (ML) for anomaly detection, and doesn’t require users to have prior AI expertise. anomalyScore":0.0,"detectionPeriodStartTime":"2024-08-29

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

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AWS Machine Learning Blog

MARCH 15, 2024

This approach can help heart stroke patients, doctors, and researchers with faster diagnosis, enriched decision-making, and more informed, inclusive research work on stroke-related health issues, using a cloud-native approach with AWS services for lightweight lift and straightforward adoption. Stroke victims can lose around 1.9

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AWS Machine Learning Blog

DECEMBER 10, 2024

You can try this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Prerequisites To try out Pixtral 12B in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources.

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AWS Machine Learning Blog

APRIL 1, 2024

Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. However, training or fine-tuning these large models for a custom use case requires a large amount of data and compute power, which adds to the overall engineering complexity of the ML stack.

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AWS Machine Learning Blog

DECEMBER 5, 2024

At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. Achieving ISO/IEC 42001 certification means that an independent third party has validated that AWS is taking proactive steps to manage risks and opportunities associated with AI development, deployment, and operation.

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AWS Machine Learning Blog

DECEMBER 5, 2024

We guide you through a step-by-step implementation on how you can use the ( AWS CLI ) or the AWS Management Console to find, review, and create optimal training plans for your specific compute and timeline needs. If you’re setting up the AWS CLI for the first time, follow the instructions at Getting started with the AWS CLI.

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AWS Machine Learning Blog

JULY 30, 2024

For the 2024 tax season, Intuit set out to raise the bar with generative AI , using Anthropic’s advanced language model Claude in Amazon Bedrock—underpinned by Intuit’s proprietary tax engine—to provide individual tax filers with simple-to-understand contextual explanations of tax calculations, backed by real-time accuracy checks.

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AWS Machine Learning Blog

OCTOBER 10, 2024

Amazon Lookout for Vision , the AWS service designed to create customized artificial intelligence and machine learning (AI/ML) computer vision models for automated quality inspection, will be discontinuing on October 31, 2025. For an out-of-the-box solution, the AWS Partner Network offers solutions from multiple partners.

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AWS Machine Learning Blog

NOVEMBER 22, 2024

Implementation details We spin up the cluster by calling the SageMaker control plane through APIs or the AWS Command Line Interface (AWS CLI) or using the SageMaker AWS SDK. To request a service quota increase, on the AWS Service Quotas console , navigate to AWS services , Amazon SageMaker , and choose ml.p4d.24xlarge

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

AWS is the first leading cloud provider to offer the H200 GPU in production. Additionally, network latency can become an issue for ML workloads on distributed systems, because data needs to be transferred between multiple machines. EC2 P5en instances, coming soon in 2024, can help solve these challenges.

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AWS Machine Learning Blog

AUGUST 27, 2024

Currently, users might have to engineer their applications to handle scenarios involving traffic spikes that can use service quotas from multiple regions by implementing complex techniques such as client-side load balancing between AWS regions, where Amazon Bedrock service is supported. Become more resilient to any traffic bursts.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline.

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AWS Machine Learning Blog

AUGUST 2, 2024

GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. introduces refactored graph ML pipeline APIs. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, GraphStorm 0.3

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AWS Machine Learning Blog

DECEMBER 3, 2024

According to New Relic’s 2024 Observability Forecast , businesses face a median annual downtime of 77 hours from high-impact outages. To get started on training, enroll for free Amazon Q training from AWS Training and Certification. Customer Solutions Manager at AWS. Solutions Architect at AWS. million per hour.

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AWS Machine Learning Blog

JULY 25, 2024

In the _generate_test_status step, the evaluator generates the test status with reasoning based on the responses from the target. { "timestamp": "2024-04-17 12:52:12.976985+00:00", "step_name": "_generate_test_status", "system_prompt": "You are a quality assurance engineer evaluating a conversation between an USER and an AGENT.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The import job can be invoked using the AWS Management Console or through APIs. Service access role.

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Snorkel AI

JUNE 27, 2024

AWS provides a robust framework for responsible AI development with Amazon SageMaker, a fully managed service that brings together a broad set of tools to build, train, and deploy generative AI and machine learning (ML) models. Our relationship with AWS helps organizations around the globe accelerate the demo-to-production pipeline.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. models initially in the US East (Ohio) AWS region and support the required instance types. The Llama 3.2 With SageMaker JumpStart, you can access Llama 3.2 Meta’s Llama 3.2

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

SageMaker JumpStart SageMaker JumpStart is a powerful feature within the Amazon SageMaker ML platform that provides ML practitioners a comprehensive hub of publicly available and proprietary foundation models. Basic familiarity with SageMaker and AWS services that support LLMs. The Jupyter Notebooks needs ml.t3.medium.

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Flipboard

DECEMBER 13, 2024

In early 2024, Amazon launched a major push to harness the power of Twitch for advertisers globally. Slack integration A message processor was implemented to interface with users through a Slack assistant using an AWS Lambda function, providing a seamless conversational experience.

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AWS Machine Learning Blog

MAY 17, 2024

You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models so you can quickly get started with ML. What is SageMaker JumpStart With SageMaker JumpStart, ML practitioners can choose from a growing list of best-performing foundation models.

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