O'Reilly Media

NOVEMBER 26, 2024

In 2020, the World Economic Forum estimated that automation will displace 85 million jobs by 2025 but will also create 97 million new jobs. Examples of these skills are artificial intelligence (prompt engineering, GPT, and PyTorch), cloud (Amazon EC2, AWS Lambda, and Microsoft’s Azure AZ-900 certification), Rust, and MLOps.

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Towards AI

APRIL 25, 2025

Artificial intelligence has undergone rapid evolution through large language models which enable technology systems to interact with users like human beings. Author(s): Rajarshi Tarafdar Originally published on Towards AI. The emergence of sophisticated large language models accelerated this convergence dramatically.

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Flipboard

APRIL 5, 2025

Artificial intelligence was eating my brain," he wrote in a recent essay for the newspaper. In any case, it's an awful lot to be surrendering to tools that are infamously prone to making up information and lying. In 2020, Dahmani showed that relying on GPS to get around cripples our spatial memory.

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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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PyImageSearch

MAY 12, 2025

Home Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? However, we will also provide AWS OpenSearch instructions so you can apply the same setup in the cloud. This is useful for running OpenSearch locally for testing before deploying it on AWS.

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Hacker News

JULY 1, 2025

On the backend we're using 100% Go with AWS primitives. Stack : Python/Django, JavaScript, VueJS, PostgreSQL, Snowflake, Docker, Git, AWS, AI/LLM integrations (OpenAI & Gemini). All on Serverless AWS. Profitable, 15+ yrs stable, 100% employee-owned. No VC, no pointless meetings, just serious coding.

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Flipboard

NOVEMBER 22, 2023

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. The full list of publicly available datasets are on the Registry of Open Data on AWS and also discoverable on the AWS Data Exchange. This quarter, AWS released 34 new or updated datasets.

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AWS Machine Learning Blog

AUGUST 3, 2023

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. In this post, we share how to enhance your IDP solution on AWS with generative AI.

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AWS Machine Learning Blog

FEBRUARY 23, 2023

For more information about distributed training with SageMaker, refer to the AWS re:Invent 2020 video Fast training and near-linear scaling with DataParallel in Amazon SageMaker and The science behind Amazon SageMaker’s distributed-training engines. In a later post, we will do a deep dive into the DNNs used by ADAS systems.

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AWS Machine Learning Blog

MAY 23, 2023

In April 2023, AWS unveiled Amazon Bedrock , which provides a way to build generative AI-powered apps via pre-trained models from startups including AI21 Labs , Anthropic , and Stability AI. Amazon Bedrock also offers access to Titan foundation models, a family of models trained in-house by AWS. Deploy the AWS CDK application.

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Flipboard

DECEMBER 3, 2024

At Amazon Web Services (AWS) , we are committed to empowering our partners to accelerate their cloud innovation journeys. In 2023, we expanded PTP to include Targeted Transformation Modules (TTMs), which provide tailored guidance to help AWS Partners accelerate their journey in specific topic areas.

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AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS. Conclusion.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

In the realm of generative artificial intelligence (AI) , Retrieval Augmented Generation (RAG) has emerged as a powerful technique, enabling foundation models (FMs) to use external knowledge sources for enhanced text generation. Choose the AWS Region where you want to create the bucket. Choose Create bucket. Choose Create stack.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The company had to be among the top 15 vendors by the reported revenues of 2020–2021 in the APEJ region, according to IDC’s AI Software Tracker. AWS position.

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AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

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AWS Machine Learning Blog

DECEMBER 14, 2023

In line with this mission, Talent.com collaborated with AWS to develop a cutting-edge job recommendation engine driven by deep learning, aimed at assisting users in advancing their careers. The solution does not require porting the feature extraction code to use PySpark, as required when using AWS Glue as the ETL solution.

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AWS Machine Learning Blog

JUNE 24, 2024

However, building such a sophisticated artificial intelligence (AI) model requires tremendous amounts of high-quality training data. Data was stored in Amazon Simple Storage Solution (Amazon S3) and AWS Key Management Service (AWS KMS) was used for data protection. Their web application is developed using AWS Amplify.

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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

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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Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

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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

SEPTEMBER 28, 2023

Since Amazon Bedrock is serverless, customers don’t have to manage any infrastructure, and they can securely integrate and deploy generative AI capabilities into their applications using the AWS services they are already familiar with. And you can expect the same AWS access controls that you have with any other AWS service.

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AWS Machine Learning Blog

OCTOBER 17, 2023

At Amazon Web Services (AWS) , not only are we passionate about providing customers with a variety of comprehensive technical solutions, but we’re also keen on deeply understanding our customers’ business processes. This method is called working backwards at AWS. billion RMB in 2020 and is expected to reach 810 billion RMB in 2025.

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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

MARCH 31, 2023

Call volumes increased further in 2020 when the COVID-19 pandemic struck and driver licensing regional offices closed. Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max.

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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. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

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AWS Machine Learning Blog

MARCH 1, 2023

For example, since 2020, COVID has become a new entity type that businesses need to extract from documents. Prerequisites To complete this walkthrough, you need an AWS account and access to create resources in AWS Identity and Access Management (IAM), Amazon S3 and Amazon Comprehend within the account.

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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

OCTOBER 24, 2023

By integrating generative artificial intelligence (AI) into the process, we can further enhance IDP capabilities. We discuss IDP in detail in our series Intelligent document processing with AWS AI services ( Part 1 and Part 2 ). However, the potential doesn’t end there.

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AWS Machine Learning Blog

APRIL 5, 2024

Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020. Janosch Woschitz is a Senior Solutions Architect at AWS, specializing in AI/ML. These forecasts aided in understanding future LST values and their trends.

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AWS Machine Learning Blog

OCTOBER 26, 2023

Bilal Alam is an Enterprise Solutions Architect at AWS with a focus on the Financial Services industry. On most days Bilal is helping customers with building, uplifting and securing their AWS environment to deploy their most critical workloads. Pashmeen Mistry is a Senior Product Manager at AWS. References Lewis, P., Petroni, F.,

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Hacker News

NOVEMBER 15, 2023

The Story of the Name Patrick Lewis, lead author of the 2020 paper that coined the term , apologized for the unflattering acronym that now describes a growing family of methods across hundreds of papers and dozens of commercial services he believes represent the future of generative AI.

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AWS Machine Learning Blog

OCTOBER 30, 2024

For this demonstration, we use a public Amazon product dataset called Amazon Product Dataset 2020 from a kaggle competition. About the Authors Kara Yang is a Data Scientist at AWS Professional Services in the San Francisco Bay Area, with extensive experience in AI/ML. Kara is passionate about innovation and continuous learning.

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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. Liza (Elizaveta) Zinovyeva is an Applied Scientist at AWS Generative AI Innovation Center and is based in Berlin. Applied Science Manager at AWS Generative AI Innovation Center. Mesko, B., &

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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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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps).

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Flipboard

NOVEMBER 22, 2023

introduced RAG models in 2020, conceptualizing them as a fusion of a pre-trained sequence-to-sequence model (parametric memory) and a dense vector index of Wikipedia (non-parametric memory) accessed via a neural retriever. About the authors Sunil Padmanabhan is a Startup Solutions Architect at AWS. Lewis et al.

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