AWS and Computer Science - Data Science Current

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning Blog

NOVEMBER 13, 2024

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The user signs in by entering a user name and a password.

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AWS AI AI Natural Language Processing

PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

AWS Machine Learning Blog

DECEMBER 24, 2024

To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023. In this blog post, we showcase how you can perform efficient supervised fine tuning for a Meta Llama 3 model using PEFT on AWS Trainium with SageMaker HyperPod. architectures/5.sagemaker-hyperpod/LifecycleScripts/base-config/

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AWS Clustering Deep Learning Deep Learning

WordFinder app: Harnessing generative AI on AWS for aphasia communication

AWS Machine Learning Blog

MAY 2, 2025

David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. The following diagram illustrates the solution architecture on AWS.

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AWS AI AI Machine Learning

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

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 Natural Language Processing ML ML

From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning Blog

MARCH 19, 2025

When the stakes are high, success requires not just cutting-edge technology, but the ability to operationalize it at scalea challenge that AWS has consistently solved for customers. To train generative AI models at enterprise scale, ServiceNow uses NVIDIA DGX Cloud on AWS. The team achieved 97.1%

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AWS AI AI Clustering

Build a Search Engine: Setting Up AWS OpenSearch

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MAY 5, 2025

Home Table of Contents Build a Search Engine: Setting Up AWS OpenSearch Introduction What Is AWS OpenSearch? What AWS OpenSearch Is Commonly Used For Key Features of AWS OpenSearch How Does AWS OpenSearch Work? Why Use AWS OpenSearch for Semantic Search? Looking for the source code to this post?

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AWS Clustering Deep Learning Deep Learning

Racing beyond DeepRacer: Debut of the AWS LLM League

AWS Machine Learning Blog

APRIL 11, 2025

The AWS DeepRacer League is the worlds first autonomous racing league, open to anyone. In December 2024, AWS launched the AWS Large Language Model League (AWS LLM League) during re:Invent 2024. Response quality : Depth, accuracy, and contextual understanding.

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AWS Machine Learning Machine Learning ML

Build a scalable AI assistant to help refugees using AWS

AWS Machine Learning Blog

JUNE 3, 2025

This post details our technical implementation using AWS services to create a scalable, multilingual AI assistant system that provides automated assistance while maintaining data security and GDPR compliance. Amazon Titan Embeddings also integrates smoothly with AWS, simplifying tasks like indexing, search, and retrieval.

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AWS AI AI Machine Learning

Why Fugaku, Japan’s fastest supercomputer, went virtual on AWS

Hacker News

APRIL 16, 2024

Now, the researchers behind one of the world’s fastest supercomputers, Fugaku , are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Dr. Matsuoka at AWS re:Invent 2023, where he held a session on Virtual Fugaku, a replication of the original environment on AWS.

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AWS Computer Science Computer Science

Generative AI on AWS – Generative AI, LLMs, and Foundation Models – AWS

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NOVEMBER 16, 2024

Transform your business with generative AI Boost productivity, build differentiated experiences, and innovate faster with AWS Get started with …

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AWS AI AI Computer Science

DeepSeek-R1 models now available on AWS

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JANUARY 30, 2025

During this past AWS re:Invent, Amazon CEO Andy Jassy shared valuable lessons learned from Amazons own experience developing nearly 1,000 generative

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AWS Computer Science Computer Science Machine Learning

AWS bets on liquid cooling for its AI servers

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DECEMBER 2, 2024

It’s AWS re:Invent this week, Amazon’s annual cloud computing extravaganza in Las Vegas, and as is tradition, the company has so much to announce, it can’t fit everything into its five (!) Ahead of the show’s official opening, AWS on Monday detailed a number of updates to its overall data …

AWS

AWS Cloud Computing AI AI

Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC

AWS Machine Learning Blog

JUNE 11, 2024

Starting with the AWS Neuron 2.18 release , you can now launch Neuron DLAMIs (AWS Deep Learning AMIs) and Neuron DLCs (AWS Deep Learning Containers) with the latest released Neuron packages on the same day as the Neuron SDK release. AWS DLCs provide a set of Docker images that are pre-installed with deep learning frameworks.

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AWS Deep Learning Deep Learning ML

Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 26, 2024

In this post, we demonstrate how to use various AWS technologies to establish a serverless semantic cache system. The solution presented in this post can be deployed through an AWS CloudFormation template. The solution presented in this post can be deployed through an AWS CloudFormation template. He holds Ph.D.

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AWS Machine Learning Machine Learning AI

Announcing the AWS Well-Architected Generative AI Lens

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APRIL 17, 2025

We are delighted to introduce the new AWS Well-Architected Generative AI Lens. Use the lens to make sure that your generative AI workloads are architected with operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability in mind.

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AWS AI AI Computer Science

SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 10, 2024

In line with its AI Pyramid Strategy, which aims to unlock AI’s potential for anyone, anywhere, anytime, SKT has collaborated with the AWS Generative AI Innovation Center (GenAIIC) Custom Model Program to explore domain-trained models using Amazon Bedrock for telco-specific use cases. in Computer Science from New York University.

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AWS Computer Science Computer Science AI

How climate tech startups are building foundation models with Amazon SageMaker HyperPod

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JUNE 4, 2025

These specialized models require advanced computational capabilities to process and analyze vast amounts of data effectively. Amazon Web Services (AWS) provides the essential compute infrastructure to support these endeavors, offering scalable and powerful resources through Amazon SageMaker HyperPod.

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AWS Clustering ML ML

AWS Launches Multi-Agent Orchestrator for Managing AI Agents

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NOVEMBER 18, 2024

Amazon Web Services(AWS) has introduced Multi-Agent Orchestrator, a framework, that offers a solution for managing multiple AI agents and handling complex conversations.

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AWS AI AI Computer Science

Build and modify apps using natural language with AWS App Studio, now generally available

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NOVEMBER 18, 2024

Unleash your inner developer with AWS App Studio, the generative AI-powered application builder. Turn your idea into fully-fledged, intelligent, custom, secure, and scalable software in minutes.

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AWS AI AI Computer Science

Amazon Bedrock Model Distillation: Boost function calling accuracy while reducing cost and latency

AWS Machine Learning Blog

APRIL 30, 2025

We recommend referring to the Submit a model distillation job in Amazon Bedrock in the official AWS documentation for the most up-to-date and comprehensive information. You can track these job status details in both the AWS Management Console and AWS SDK. Prior to joining AWS, he obtained his Ph.D. David received a M.S.

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AWS AI AI Computer Science

Unlocking innovation: three key themes from AWS re:Invent 2024

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JANUARY 6, 2025

Amazon Web Services (AWS) re:Invent drew nearly 60,000 attendees from across the globe to Las Vegas, Nevada, December 26, 2024. The conference featured 5 keynotes, 18 innovation talks, and 1,900 sessions and hands-on labs offering immersive learning and networking opportunities.

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AWS Computer Science Computer Science Artificial Intelligence

Build a Travel Planner with React Native, AWS Amplify, and Amazon Bedrock Knowledge Base

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NOVEMBER 22, 2024

With the announcement of the Amplify AI kit, we learned how to build custom UI components, conversation history and add external data to the conversation flow. In this blog post, we will learn how to build a travel planner application using React Native.

AWS

AWS AI AI Computer Science

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – Part 2

Flipboard

DECEMBER 2, 2024

About the Authors Melanie Li , PhD, is a Senior Generative AI Specialist Solutions Architect at AWS based in Sydney, Australia, where her focus is on working with customers to build solutions leveraging state-of-the-art AI and machine learning tools. Li held data science roles in the financial and retail industries.

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AWS ML ML Machine Learning

Build generative AI apps using AWS Step Functions and Amazon Bedrock

Flipboard

NOVEMBER 26, 2023

Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

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AWS Machine Learning Machine Learning ML

Exclusive: Amazon AWS aims to outshine Microsoft with Gen AI offerings at Re:Invent

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NOVEMBER 27, 2023

Amazon AWS, the cloud computing giant, has been perceived as playing catch-up with its rivals Microsoft Azure and Google Cloud in the emerging and exciting field of generative AI. But this week, at its annual AWS Re:Invent conference, Amazon plans to showcase its ambitious vision for generative AI, …

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AWS Cloud Computing Azure AI

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

APRIL 24, 2025

This post describes a pattern that AWS and Cisco teams have developed and deployed that is viable at scale and addresses a broad set of challenging enterprise use cases. AWS solution architecture In this section, we illustrate how you might implement the architecture on AWS.

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SQL Database AWS ML

Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart

AWS Machine Learning Blog

NOVEMBER 15, 2024

Prerequisites Make sure you meet the following prerequisites: Make sure your SageMaker AWS Identity and Access Management (IAM) role has the AmazonSageMakerFullAccess permission policy attached. You may be prompted to subscribe to this model through AWS Marketplace. On the AWS Marketplace listing , choose Continue to subscribe.

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AWS Computer Science Computer Science Database

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. The workflow steps are as follows: AWS Lambda running in your private VPC subnet receives the prompt request from the generative AI application.

AWS

AWS ML ML Computer Science

Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

AWS Machine Learning Blog

JUNE 20, 2024

AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. Therefore, accessing AWS services without leaving the AWS network can be a secure workflow. Therefore, accessing AWS services without leaving the AWS network can be a secure workflow.

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AWS Machine Learning Machine Learning AI

Tech stack modernization: AWS drives AI success - SiliconANGLE

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DECEMBER 13, 2024

The AWS re:Invent gathering in Las Vegas last week provided several newsworthy announcements, including the cloud giants entry into the world of AI

AWS

AWS AI AI Cloud Computing

Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

AWS Machine Learning Blog

DECEMBER 5, 2024

A training plan provides simple and predictable access to accelerated compute resources (supporting P4d, P5, P5e, P5en, and trn2 as of the time of writing), allowing you to use this compute capacity to run model training on either Amazon SageMaker training jobs or SageMaker HyperPod.

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Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Architecting specific AWS Cloud solutions involves creating diagrams that show relationships and interactions between different services. Instead of building the code manually, you can use Anthropic’s Claude 3’s image analysis capabilities to generate AWS CloudFormation templates by passing an architecture diagram as input.

AWS

AWS AI AI Computer Science

AWS, PwC collab to create industry-tailored AI applications

Flipboard

DECEMBER 5, 2024

Dive Brief: PwC is expanding its alliance with AWS in pursuit of industry-tailored generative AI applications, the two companies announced at AWS

AWS

AWS AI AI Computer Science

The Weather Company enhances MLOps with Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch

AWS Machine Learning Blog

JULY 8, 2024

MLOps practitioners have many options to establish an MLOps platform; one among them is cloud-based integrated platforms that scale with data science teams. AWS provides a full-stack of services to establish an MLOps platform in the cloud that is customizable to your needs while reaping all the benefits of doing ML in the cloud.

AWS

AWS ML ML Data Scientist

NeMo Retriever Llama 3.2 text embedding and reranking NVIDIA NIM microservices now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

MARCH 18, 2025

With this launch, you can now deploy NVIDIAs optimized reranking and embedding models to build, experiment, and responsibly scale your generative AI ideas on AWS. As part of NVIDIA AI Enterprise available in AWS Marketplace , NIM is a set of user-friendly microservices designed to streamline and accelerate the deployment of generative AI.

AWS

AWS AI AI Computer Science

Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning Blog

APRIL 1, 2025

invoke(input_text=Convert 11am from NYC time to London time) We showcase an example of building an agent to understand your Amazon Web Service (AWS) spend by connecting to AWS Cost Explorer , Amazon CloudWatch , and Perplexity AI through MCP. This gives you an AI agent that can transform the way you manage your AWS spend.

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AWS ML ML Machine Learning

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

AWS

AWS AI AI SQL

Use Amazon Bedrock Agents for code scanning, optimization, and remediation

AWS Machine Learning Blog

NOVEMBER 27, 2024

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, integrate and deploy them into your application using Amazon Web Services (AWS) tools without having to manage any infrastructure. Grant the agent permissions to AWS services through the IAM service role.

AWS

AWS AI AI Cloud Computing

Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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AWS AI AI ML

Matt Garman’s Vision for AWS: 400 Trillion Objects, $4B Anthropic Bet and More

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DECEMBER 5, 2024

I sat down with AWS CEO Matt Garman at the company’s re:Invent conference in Las Vegas, Nevada to talk through Amazon’s AI strategy and plans for the future.

AWS

AWS AI AI Computer Science

Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton

AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. As shown in our results, we observed a significant training speedup with AWS Graviton3 over the comparable Intel and NVIDIA instances on several representative modeling workloads.

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AWS Deep Learning Deep Learning ML

The future of productivity agents with NinjaTech AI and AWS Trainium

AWS Machine Learning Blog

JUNE 27, 2024

In this post, we describe how we built our cutting-edge productivity agent NinjaLLM, the backbone of MyNinja.ai, using AWS Trainium chips. We also used AWS ParallelCluster to manage cluster orchestration. For training, we chose to use a cluster of trn1.32xlarge instances to take advantage of Trainium chips. Arash co-founded Ninjatech.ai

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AWS AI AI Clustering

New – Accelerate database modernization with generative AI using AWS Database Migration Service Schema Conversion

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DECEMBER 3, 2024

AWS Database Migration Service Schema Conversion (DMS SC) helps you accelerate your database migration to AWS. Using DMS SC, you can assess, convert, …

Database

Database AWS AI AI

Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning Blog

APRIL 10, 2025

Solution overview To evaluate the effectiveness of RAG compared to model customization, we designed a comprehensive testing framework using a set of AWS-specific questions. Our study used Amazon Nova Micro and Amazon Nova Lite as baseline FMs and tested their performance across different configurations.

AWS

AWS Computer Science Computer Science AI

Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

Webinars

Trending Sources

WordFinder app: Harnessing generative AI on AWS for aphasia communication

Webinars

Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

Build a Search Engine: Setting Up AWS OpenSearch

Racing beyond DeepRacer: Debut of the AWS LLM League

Build a scalable AI assistant to help refugees using AWS

Why Fugaku, Japan’s fastest supercomputer, went virtual on AWS

Generative AI on AWS – Generative AI, LLMs, and Foundation Models – AWS

DeepSeek-R1 models now available on AWS

AWS bets on liquid cooling for its AI servers

Get started quickly with AWS Trainium and AWS Inferentia using AWS Neuron DLAMI and AWS Neuron DLC

Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock

Announcing the AWS Well-Architected Generative AI Lens

SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock

How climate tech startups are building foundation models with Amazon SageMaker HyperPod

AWS Launches Multi-Agent Orchestrator for Managing AI Agents

Build and modify apps using natural language with AWS App Studio, now generally available

Amazon Bedrock Model Distillation: Boost function calling accuracy while reducing cost and latency

Unlocking innovation: three key themes from AWS re:Invent 2024

Build a Travel Planner with React Native, AWS Amplify, and Amazon Bedrock Knowledge Base

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – Part 2

Build generative AI apps using AWS Step Functions and Amazon Bedrock

Exclusive: Amazon AWS aims to outshine Microsoft with Gen AI offerings at Re:Invent

Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart

Use AWS PrivateLink to set up private access to Amazon Bedrock

Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

Tech stack modernization: AWS drives AI success - SiliconANGLE

Speed up your cluster procurement time with Amazon SageMaker HyperPod training plans

Architecture to AWS CloudFormation code using Anthropic’s Claude 3 on Amazon Bedrock

AWS, PwC collab to create industry-tailored AI applications

The Weather Company enhances MLOps with Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch

NeMo Retriever Llama 3.2 text embedding and reranking NVIDIA NIM microservices now available in Amazon SageMaker JumpStart

Harness the power of MCP servers with Amazon Bedrock Agents

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Use Amazon Bedrock Agents for code scanning, optimization, and remediation

Build a video insights and summarization engine using generative AI with Amazon Bedrock

Matt Garman’s Vision for AWS: 400 Trillion Objects, $4B Anthropic Bet and More

Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton

The future of productivity agents with NinjaTech AI and AWS Trainium

New – Accelerate database modernization with generative AI using AWS Database Migration Service Schema Conversion

Model customization, RAG, or both: A case study with Amazon Nova

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