AWS Machine Learning Blog

MARCH 30, 2023

Not only was he widely considered the top-rated goalkeeper in the league during the 2021/22 season, but he also held that title back in 2018/19 when Eintracht Frankfurt reached the Europa League semifinals. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Many of our customers have reported strong satisfaction with ThirdAI’s ability to train and deploy deep learning models for critical business problems on cost-effective CPU infrastructure. Instance types For our evaluation, we considered two comparable AWS CPU instances: a c6i.8xlarge 8xlarge powered by AWS Graviton3.

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AWS Machine Learning Blog

JANUARY 17, 2024

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. In this post, we demonstrate how to deploy and fine-tune Llama 2 on Trainium and AWS Inferentia instances in SageMaker JumpStart.

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AWS Machine Learning Blog

MAY 14, 2024

An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF). RLHF is a technique that combines rewards and comparisons, with human feedback to pre-train or fine-tune a machine learning (ML) model.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Quantitative modeling and forecasting – Generative models can synthesize large volumes of financial data to train machine learning (ML) models for applications like stock price forecasting, portfolio optimization, risk modeling, and more. Multi-modal models that understand diverse data sources can provide more robust forecasts.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames.

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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

JULY 9, 2024

of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. Sonnet within 24 hours.” – Diana Mingels, Head of Machine Learning at Kensho. About the authors Qingwei Li is a Machine Learning Specialist at Amazon Web Services. The benchmark shows that Anthropic Claude 3.5

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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. The solution lay in what’s known as transfer learning.

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AWS Machine Learning Blog

FEBRUARY 8, 2023

Machine learning (ML) has become ubiquitous. About the Authors Mohan Gandhi is a Senior Software Engineer at AWS. He has been with AWS for the last 10 years and has worked on various AWS services like EMR, EFA and RDS. Venkatesh Krishnan leads Product Management for Amazon SageMaker in AWS.

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AWS Machine Learning Blog

MAY 31, 2023

Getting AWS Certified can help you propel your career, whether you’re looking to find a new role, showcase your skills to take on a new project, or become your team’s go-to expert. Reading the FAQ page of the AWS services relevant for your certification exam is important in order to acquire a deeper understanding of the service.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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AWS Machine Learning Blog

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. For unstructured data, the agent uses AWS Lambda functions with AI services such as Amazon Comprehend for natural language processing (NLP). The following diagram illustrates the technical architecture.

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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

MARCH 14, 2024

In this post we highlight how the AWS Generative AI Innovation Center collaborated with the AWS Professional Services and PGA TOUR to develop a prototype virtual assistant using Amazon Bedrock that could enable fans to extract information about any event, player, hole or shot level details in a seamless interactive manner.

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Dataconomy

SEPTEMBER 4, 2023

Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. For instance, British Airways faced a fine of £183 million ($230 million) for a GDPR breach in 2018.

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Flipboard

FEBRUARY 2, 2023

With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their knowledge of the games within the game of football. There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively.

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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 trained three models using data from 2011–2018 and predicted the sales values until 2021.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Examples include: Cultivating distrust in the media Undermining the democratic process Spreading false or discredited science (for example, the anti-vax movement) Advances in artificial intelligence (AI) and machine learning (ML) have made developing tools for creating and sharing fake news even easier.

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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). In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Suppliers of data center GPUs include NVIDIA, AMD, Intel, and others.

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AWS Machine Learning Blog

APRIL 3, 2023

Prerequisites You need an AWS account to use this solution. To run this JumpStart 1P Solution and have the infrastructure deployed to your AWS account, you need to create an active Amazon SageMaker Studio instance (refer to Onboard to Amazon SageMaker Domain ).

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AWS Machine Learning Blog

JUNE 5, 2023

In this post, we show you how to train the 7-billion-parameter BloomZ model using just a single graphics processing unit (GPU) on Amazon SageMaker , Amazon’s machine learning (ML) platform for preparing, building, training, and deploying high-quality ML models. BloomZ is a general-purpose natural language processing (NLP) model.

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Dataconomy

APRIL 26, 2023

The growing demand for edge computing services is driving innovation and competition among edge computing companies Aarna Networks Aarna Networks , established in 2018, is striving to simplify edge orchestration for enterprises by offering private 5G and enterprise edge computing application automation software.

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AWS Machine Learning Blog

OCTOBER 2, 2024

To learn more about Amazon Bedrock Agents, you can get started with the Amazon Bedrock Workshop and the standalone Amazon Bedrock Agents Workshop , which provides a deeper dive. Additionally, check out the service introduction video from AWS re:Invent 2023. Mark holds six AWS certifications, including the ML Specialty Certification.

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AWS Machine Learning Blog

MARCH 30, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. Choose the new aws-trending-now recipe. For Solution version ID , choose the solution version that uses the aws-trending-now recipe. For Campaign name , enter a name.

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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

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. Journal of machine learning research 9, no.

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AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. It also includes support for new hardware like ARM (both in servers like AWS Graviton and laptops with Apple M1 ) and AWS Inferentia. Business requirements We are the US squad of the Sportradar AI department.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Since its launch in 2018, Just Walk Out technology by Amazon has transformed the shopping experience by allowing customers to enter a store, pick up items, and leave without standing in line to pay. Learn more about how to power your store or venue with Just Walk Out technology by Amazon on the Just Walk Out technology product page.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19).

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AWS Machine Learning Blog

AUGUST 16, 2023

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. One way to overcome this challenge is through self-supervised learning (SSL). parquet s3://bigearthnet-s2-dataset/metadata/ aws s3 cp BigEarthNet-v1.0/ tif" --include "_B03.tif"

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AWS Machine Learning Blog

MAY 5, 2023

This is a joint post co-written by AWS and Voxel51. Solution overview Ground Truth is a fully self-served and managed data labeling service that empowers data scientists, machine learning (ML) engineers, and researchers to build high-quality datasets. A retail company is building a mobile app to help customers buy clothes.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. Anjan is part of the worldwide AI services specialist team and works with customers to help them understand and develop solutions to business problems with AWS AI Services and generative AI.

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AWS Machine Learning Blog

MAY 22, 2023

Prerequisites To get started, all you need is an AWS account in which you can use Studio. About the authors Laurent Callot is a Principal Applied Scientist and manager at AWS AI Labs who has worked on a variety of machine learning problems, from foundational models and generative AI to forecasting, anomaly detection, causality, and AI Ops.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

SageMaker geospatial capabilities make it easy for data scientists and machine learning (ML) engineers to build, train, and deploy models using geospatial data. Janosch Woschitz is a Senior Solutions Architect at AWS, specializing in geospatial AI/ML. Emmett joined AWS in 2020 and is based in Austin, TX. min()) * 100).round(2)

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Mlearning.ai

JANUARY 26, 2023

BUILDING EARTH OBSERVATION DATA CUBES ON AWS. 2018, July). In IGARSS 2018–2018 IEEE International Geoscience and Remote Sensing Symposium (pp. AWS , GCP , Azure , CreoDIAS , for example, are not open-source, nor are they “standard”. Big ones can: AWS is benefiting a lot from these concepts. Data, 4(3), 92.

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Chatbots Life

MAY 16, 2023

Master of Code Global (MOCG) is a certified partner of Microsoft and AWS and has been recognized by LivePerson, Inc. Services : Mobile app development, web development, blockchain technology implementation, 360′ design services, DevOps, OpenAI integrations, machine learning, and MLOps. Elite Service Delivery partner of NVIDIA.

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