AWS Machine Learning - AI

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 Machine Learning - AI

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. In the following sections, we explain how to deploy this architecture.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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AWS Machine Learning - AI

MAY 1, 2025

We will deep dive into the MCP architecture later in this post. Using a client-server architecture (as illustrated in the following screenshot), MCP helps developers expose their data through lightweight MCP servers while building AI applications as MCP clients that connect to these servers.

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AWS Machine Learning - AI

MARCH 3, 2025

The device further processes this response, including text-to-speech (TTS) conversion for voice agents, before presenting it to the user. AWS Local Zones are a type of edge infrastructure deployment that places select AWS services close to large population and industry centers. Next, create a subnet inside each Local Zone.

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CIO

APRIL 15, 2025

However, as companies expand their operations and adopt multi-cloud architectures, they are faced with an invisible but powerful challenge: Data gravity. This gravitational effect presents a paradox for IT leaders. The adoption of cloud-native architectures further mitigates the impact of data gravity.

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AWS Machine Learning - AI

APRIL 29, 2025

At Data Reply and AWS, we are committed to helping organizations embrace the transformative opportunities generative AI presents, while fostering the safe, responsible, and trustworthy development of AI systems. The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

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AWS Machine Learning - AI

JANUARY 13, 2025

The collaboration between BQA and AWS was facilitated through the Cloud Innovation Center (CIC) program, a joint initiative by AWS, Tamkeen , and leading universities in Bahrain, including Bahrain Polytechnic and University of Bahrain. The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

OCTOBER 11, 2024

However, managing cloud operational events presents significant challenges, particularly in complex organizational structures. It uses Amazon Bedrock , AWS Health , AWS Step Functions , and other AWS services. AWS Cost Anomaly Detection alerts – Notifications about unusual spending patterns or cost spikes.

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AWS Machine Learning - AI

APRIL 29, 2025

In the era of generative AI , new large language models (LLMs) are continually emerging, each with unique capabilities, architectures, and optimizations. In this post, we present an LLM migration paradigm and architecture, including a continuous process of model evaluation, prompt generation using Amazon Bedrock, and data-aware optimization.

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AWS Machine Learning - AI

APRIL 16, 2025

However, using generative AI models in enterprise environments presents unique challenges. Why LoRAX for LoRA deployment on AWS? The surge in popularity of fine-tuning LLMs has given rise to multiple inference container methods for deploying LoRA adapters on AWS. The following diagram is the solution architecture.

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AWS Machine Learning - AI

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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AWS Machine Learning - AI

APRIL 30, 2025

This advancement makes sophisticated agent architectures more accessible and economically viable across a broader range of applications and scales of deployment. 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.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

Although these advancements offer remarkable capabilities, they also present significant challenges. In a transformer architecture, such layers are the embedding layers and the multilayer perceptron (MLP) layers. and prior Llama models) and Mistral model architectures for context parallelism. supports the Llama 3.1 (and

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AWS Machine Learning - AI

APRIL 10, 2025

Approach and base model overview In this section, we discuss the differences between a fine-tuning and RAG approach, present common use cases for each approach, and provide an overview of the base model used for experiments. The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services.

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AWS Machine Learning - AI

APRIL 30, 2025

However, the journey from production-ready solutions to full-scale implementation can present distinct operational and technical considerations. Il Sole 24 Ore leveraged its vast internal knowledge with a Retrieval Augmented Generation (RAG) solution powered by AWS.

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Erik Bernhardsson

NOVEMBER 30, 2021

Here's a theory I have about cloud vendors (AWS, Azure, GCP): Cloud vendors 1 will increasingly focus on the lowest layers in the stack: basically leasing capacity in their data centers through an API. Redshift is a data warehouse (aka OLAP database) offered by AWS. If you're an ambitious person, do you go work at AWS?

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AWS Machine Learning - AI

MARCH 3, 2025

Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. These recipes are processed through the HyperPod recipe launcher, which serves as the orchestration layer responsible for launching a job on the corresponding architecture.

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AWS Machine Learning - AI

APRIL 10, 2025

The failed instance also needs to be isolated and terminated manually, either through the AWS Management Console , AWS Command Line Interface (AWS CLI), or tools like kubectl or eksctl. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.

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AWS Machine Learning - AI

NOVEMBER 21, 2024

The path to creating effective AI models for audio and video generation presents several distinct challenges. We guide you through deploying the necessary infrastructure using AWS CloudFormation , creating an internal labeling workforce, and setting up your first labeling job. We demonstrate how to use Wavesurfer.js

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AWS Machine Learning - AI

JULY 31, 2024

Amazon Web Services (AWS) is committed to supporting the development of cutting-edge generative artificial intelligence (AI) technologies by companies and organizations across the globe. Let’s dive in and explore how these organizations are transforming what’s possible with generative AI on AWS.

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AWS Machine Learning - AI

MARCH 3, 2025

Mistral developed a novel architecture for Pixtral 12B, optimized for both computational efficiency and performance. This architecture supports processing an arbitrary number of images of varying sizes within a large context window of 128k tokens. For more Mistral resources on AWS, check out the GitHub repo.

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AWS Machine Learning - AI

APRIL 30, 2025

Because Amazon Bedrock is serverless, you dont have to manage infrastructure to securely integrate and deploy generative AI capabilities into your application, handle spiky traffic patterns, and enable new features like cross-Region inference, which helps provide scalability and reliability across AWS Regions.

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AWS Machine Learning - AI

MARCH 7, 2025

The Mozart application rapidly compares policy documents and presents comprehensive change details, such as descriptions, locations, excerpts, in a tracked change format. In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline.

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AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. The following diagram illustrates the solution architecture. Click here to open the AWS console and follow along.

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AWS Machine Learning - AI

JANUARY 22, 2025

We explain the end-to-end solution workflow, the prompts needed to produce the transcript and perform security analysis, and provide a deployable solution architecture. This architecture can be used for demonstration purposes and testing with your own video recordings and prompts; however, it is not suitable for a production use.

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AWS Machine Learning - AI

MARCH 18, 2025

These reports can be presented to clinical trial teams, regulatory bodies, and safety monitoring committees, supporting informed decision-making processes. Insights and reporting The processed data and insights derived from the LLM are presented through interactive dashboards, visualizations, and reports. An AWS account.

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AWS Machine Learning - AI

APRIL 22, 2025

To address these challenges, Infosys partnered with Amazon Web Services (AWS) to develop the Infosys Event AI to unlock the insights generated during events. The services used in the solution are granted least-privilege permissions through AWS Identity and Access Management (IAM) policies for security purposes.

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AWS Machine Learning - AI

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness.

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AWS Machine Learning - AI

MARCH 13, 2025

Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture. These models retain their existing architecture while gaining additional reasoning capabilities through a distillation process. GenAI Data Scientist at AWS.

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Xebia

AUGUST 29, 2023

VPC Lattice offers a new mechanism to connect microservices across AWS accounts and across VPCs in a developer-friendly way. Or if you have an existing landing zone with AWS Transit Gateway, do you already plan to replace it with VPC Lattice? You can also use AWS PrivateLink to inter-connect your VPCs across accounts.

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Honeycomb

MAY 23, 2022

As many of you may have read, Amazon has released C7g instances powered by the highly anticipated AWS Graviton3 Processors. Based on the success we had with this experiment (don’t worry, we discuss it below) we can only expect great things to come out of the new AWS Graviton3 Processors. Background. Reservations[]|.Instances[]'

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Tenable

MARCH 21, 2024

Tenable Research discovered a one-click account takeover vulnerability in the AWS Managed Workflows Apache Airflow service that could have allowed full takeover of a victim’s web management panel of the Airflow instance. By abusing the vulnerability, an attacker could have forced victims to use and authenticate the attacker’s known session.

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AWS Machine Learning - AI

MAY 2, 2025

This architecture demonstrates the significant advantages of deploying multiple specialized agents, each designed to handle distinct aspects of complex tasks such as financial analysis. Furthermore, the systems modular architecture facilitates seamless maintenance, updates, and scalability.

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AWS Machine Learning - AI

MAY 30, 2024

In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes. This solution, powered by AWS AI and generative AI services, meets these needs.

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