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

NOVEMBER 14, 2024

This post explores a solution that uses the power of AWS generative AI capabilities like Amazon Bedrock and OpenSearch vector search to perform damage appraisals for insurers, repair shops, and fleet managers. Specific instructions can be found on the AWS Samples repository. On the AWS CloudFormation console, delete the stack.

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Flipboard

SEPTEMBER 19, 2023

Kyle Roche , the startup’s co-founder and CEO, spent more than eight years at Amazon Web Services (AWS) in various roles. In his position as head of immersive technology, Roche led teams that built and ran AWS services including Amazon Location Service, Amazon Nimble Studio, Thinkbox, and others.

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AWS Machine Learning Blog

MARCH 28, 2025

Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Tokyo) AWS Regions. Solution overview To get started, create a guardrail on the AWS Management Console and configure the content filters for either text or image data or both. You can also use AWS SDKs to integrate this capability into your applications.

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AWS Machine Learning Blog

APRIL 25, 2024

In AWS, the FMEval library within Amazon SageMaker Clarify streamlines the evaluation and selection of foundation models (FMs) for tasks like text summarization, question answering, and classification. Hurricane Patricia has been rated as a categor… Human: 23 October 2015 Last updated at 17:44 B… [{‘name’: meteor’, “value’: 0.102339181286549.

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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. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. In the first post , we described FL concepts and the FedML framework.

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AWS Machine Learning Blog

OCTOBER 23, 2024

SnapLogic uses Amazon Bedrock to build its platform, capitalizing on the proximity to data already stored in Amazon Web Services (AWS). To address customers’ requirements about data privacy and sovereignty, SnapLogic deploys the data plane within the customer’s VPC on AWS.

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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

AUGUST 5, 2024

Amazon Transcribe is an AWS AI service that makes it straightforward to convert speech to text. In this post, we show how Amazon Transcribe and Amazon Bedrock can streamline the process to catalog, query, and search through audio programs, using an example from the AWS re:Think podcast series. and the AWS SDK for Python (Boto3).

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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. on 27 August.

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AWS Machine Learning Blog

JUNE 8, 2023

Amazon Personalize now enables popularity tuning for its Similar-Items recipe ( aws-similar-items ). Implement popularity tuning To tune popularity for the Similar-Items recipe, configure the popularity_discount_factor hyperparameter via the AWS Management Console , the AWS SDKs, or the AWS Command Line Interface (AWS CLI).

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AWS Machine Learning Blog

FEBRUARY 11, 2025

This model was predominantly trained on AWS, and AWS will also be the first cloud provider to make it available to customers. Models hosted on JumpStart can be provisioned on dedicated SageMaker Inference instances, including AWS Trainium and AWS Inferentia based instances, and are isolated within your virtual private cloud (VPC).

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AWS Machine Learning Blog

OCTOBER 20, 2023

Meesho was founded in 2015 and today focuses on buyers and sellers across India. We used AWS machine learning (ML) services like Amazon SageMaker to develop a powerful generalized feed ranker (GFR). In the following sections, we discuss each component and the AWS services used in more detail.

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Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

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AWS Machine Learning Blog

SEPTEMBER 29, 2023

In late 2023, Planet announced a partnership with AWS to make its geospatial data available through Amazon SageMaker. Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

You can also ask the model to combine its knowledge with the knowledge from the graph. 90B Vision model. The following is an example architecture diagram for modernizing applications with microservices using Amazon Elastic Kubernetes Service (Amazon EKS).

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Data Science Dojo

MARCH 4, 2024

DRIVE Platform : With its launch in 2015, NVIDIA stepped into the arena of edge computing. Collaborations with leading tech giants – AWS, Microsoft, and Google among others – paved the way to expand NVIDIA’s influence in the AI market. It provided optimized codes for deep learning models.

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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. Applied AI Specialist Architect at AWS. For more information, see Amazon SageMaker geospatial capabilities.

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AWS Machine Learning Blog

OCTOBER 9, 2023

Also, we need to set up the right permissions using AWS Identity and Access Management (IAM) for Amazon Personalize and Amazon SageMaker service roles so that they can access the needed functionalities. In AWS, Maysara helps partners in building their cloud practices and growing their businesses. DOI= [link]

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AWS Machine Learning Blog

FEBRUARY 28, 2023

AWS provides the most complete set of services for the entire end-to-end data journey for all workloads, all types of data, and all desired business outcomes. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline.

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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

NOVEMBER 21, 2023

a proposal to establish an annual International Day of Light The final report of IYL 2015 was delivered to UNESCO in Paris (IDL) as an extension of the highly successful International Year of during a special meeting in October 2016. At this event, SPIE member Light and Light-based Technologies (IYL 2015).

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AWS Machine Learning Blog

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs.

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Towards AI

AUGUST 8, 2024

Developed by Google in 2015, TensorFlow boasts extensive capabilities, resulting in the tool being used often for research purposes or companies using it for their programming purposes. It can also be used in a variety of languages, such as Python, C++, JavaScript, and Java.

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AWS Machine Learning Blog

AUGUST 11, 2023

Note that by following the steps in this section, you will deploy infrastructure to your AWS account that may incur costs. Optionally, you can specify security configurations like AWS Identity and Access Management (IAM) role, VPC settings, and AWS Key Management Service (AWS KMS) encryption keys.

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IBM Journey to AI blog

NOVEMBER 2, 2023

These tech pioneers were looking for ways to bring Google’s internal infrastructure expertise into the realm of large-scale cloud computing and also enable Google to compete with Amazon Web Services (AWS)—the unrivaled leader among cloud providers at the time.

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IBM Journey to AI blog

NOVEMBER 13, 2023

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing. While Docker includes its own orchestration tool, called Docker Swarm , most developers choose Kubernetes container orchestration instead.

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AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, compared to $3,818,000, or $0.21

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DagsHub

JULY 25, 2024

TensorFlow The Google Brain team created the open-source deep learning framework TensorFlow, which was made available in 2015. Developed by François Chollet, it was released in 2015 to simplify the creation of deep learning models. This environment supports collaborative development and experimentation.

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Women in Big Data

MAY 21, 2024

Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Began studying for my AWS Solution Architect Professional certification concurrently to enhance my skill set. We provided a quick overview of Women in Big Data (WiBD).

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Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. He was previously a senior leader at AWS, and the CTO of Analytics & ML at IBM. DJ Patil , general partner at GreatPoint Ventures, will have a fireside chat with Snorkel AI CEO Alex Ratner. Patil served as the first U.S.

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Snorkel AI

MAY 24, 2023

chief data scientist, a role he held under President Barack Obama from 2015 to 2017. He was previously a senior leader at AWS, and the CTO of Analytics & ML at IBM. DJ Patil , general partner at GreatPoint Ventures, will have a fireside chat with Snorkel AI CEO Alex Ratner. Patil served as the first U.S.

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AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, compared to $3,818,000, or $0.21

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phData

MAY 25, 2023

Debuting in 2015, Power BI has undergone meaningful updates that have made it a leader not just in data visualization, but in the business intelligence space as well. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

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Pickl AI

AUGUST 22, 2024

Overview of TensorFlow TensorFlow , developed by Google Brain, is a robust and versatile deep learning framework that was introduced in 2015. Launched in 2015, Keras was designed to simplify the process of building and experimenting with Deep Learning models.

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The MLOps Blog

NOVEMBER 30, 2022

Starting from AlexNet with 8 layers in 2012 to ResNet with 152 layers in 2015 – the deep neural networks have become deeper with time. Different tools: Your repository consists of multiple tools, libraries, and infrastructure providers like Azure, AWS, and GCP.

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