AWS Machine Learning - AI

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 Machine Learning - AI

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 following diagram illustrates the architecture of the application.

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AWS Machine Learning - AI

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. You can also customize your distributed training.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3. If enabled, its status will display as Access granted.

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CIO

SEPTEMBER 10, 2024

In continuation of its efforts to help enterprises migrate to the cloud, Oracle said it is partnering with Amazon Web Services (AWS) to offer database services on the latter’s infrastructure. Oracle Database@AWS is expected to be available in preview later in the year with broader availability expected in 2025.

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AWS Machine Learning - AI

NOVEMBER 6, 2024

Prerequisites Before you dive into the integration process, make sure you have the following prerequisites in place: AWS account – You’ll need an AWS account to access and use Amazon Bedrock. You can interact with Amazon Bedrock using AWS SDKs available in Python, Java, Node.js, and more.

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AWS Machine Learning - AI

MARCH 14, 2025

The computer use agent demo powered by Amazon Bedrock Agents provides the following benefits: Secure execution environment Execution of computer use tools in a sandbox environment with limited access to the AWS ecosystem and the web. The following diagram illustrates the solution architecture. AWS CDK CLI, follow instructions here.

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CIO

MARCH 20, 2025

Built on top of EXLerate.AI, EXLs AI orchestration platform, and Amazon Web Services (AWS), Code Harbor eliminates redundant code and optimizes performance, reducing manual assessment, conversion and testing effort by 60% to 80%. The EXLerate.AI

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AWS Machine Learning - AI

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.

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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

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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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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AWS Machine Learning - AI

APRIL 1, 2025

AWS App Studio is a generative AI-powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. Cross-instance Import and Export Enabling straightforward and self-service migration of App Studio applications across AWS Regions and AWS accounts.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This solution uses decorators in your application code to capture and log metadata such as input prompts, output results, run time, and custom metadata, offering enhanced security, ease of use, flexibility, and integration with native AWS services. versions, catering to different programming preferences.

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. 8B ) and DeepSeek-R1-Distill-Llama-70B (from base model Llama-3.3-70B-Instruct

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AWS Machine Learning - AI

MARCH 27, 2025

Amazon Bedrock cross-Region inference capability that provides organizations with flexibility to access foundation models (FMs) across AWS Regions while maintaining optimal performance and availability. We provide practical examples for both SCP modifications and AWS Control Tower implementations.

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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

NOVEMBER 1, 2024

Organizations can now label all Amazon Bedrock models with AWS cost allocation tags , aligning usage to specific organizational taxonomies such as cost centers, business units, and applications. By assigning AWS cost allocation tags, the organization can effectively monitor and track their Bedrock spend patterns.

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AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. Cross-Region inference enables seamless management of unplanned traffic bursts by using compute across different AWS Regions.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

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. Delving deeper into FP8’s architecture, we discover two distinct subtypes: E4M3 and E5M2. supports the Llama 3.1 (and

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AWS Machine Learning - AI

OCTOBER 16, 2024

The general architecture of the metadata pipeline consists of two primary steps: Generate transcriptions of audio tracks: use speech recognition models to generate accurate transcripts of the audio content. Tom Lauwers is a machine learning engineer on the video personalization team for DPG Media.

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CIO

JUNE 28, 2023

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. AppFabric, which is available across AWS’ US East (N.

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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

JANUARY 13, 2025

Amazon Q Business as a web experience makes AWS best practices readily accessible, providing cloud-centered recommendations quickly and making it straightforward to access AWS service functions, limits, and implementations. This post covers how to integrate Amazon Q Business into your enterprise setup.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. Then we introduce the solution deployment using three AWS CloudFormation templates.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

The following diagram illustrates high level RAG architecture with dynamic metadata filtering. This architecture uses the power of tool use for intelligent metadata extraction from a user’s query, combined with the robust RAG capabilities of Amazon Bedrock Knowledge Bases. Finally, the generated response is returned to the user.

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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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CIO

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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AWS Machine Learning - AI

MARCH 13, 2025

We discuss the unique challenges MaestroQA overcame and how they use AWS to build new features, drive customer insights, and improve operational inefficiencies. MaestroQA integrated Amazon Bedrock into their existing architecture using Amazon Elastic Container Service (Amazon ECS).

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AWS Machine Learning - AI

DECEMBER 23, 2024

To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context. Lettria provides an accessible way to integrate GraphRAG into your applications.

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AWS Machine Learning - AI

MARCH 3, 2025

Hybrid architecture with AWS Local Zones To minimize the impact of network latency on TTFT for users regardless of their locations, a hybrid architecture can be implemented by extending AWS services from commercial Regions to edge locations closer to end users. Next, create a subnet inside each Local Zone.

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AWS Machine Learning - AI

MARCH 13, 2025

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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CIO

MARCH 20, 2025

Partnering with AWS Amazon Web Services plays an important role in Japans rugby media strategy, including AWS Elemental Live, which encodes live video from the matches and uploads it to the cloud, and AWS Elemental MediaLive, a live video processing service that encodes streaming video. But it was a steep learning curve.

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CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Staffers learn by trial and error, he says.

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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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AWS Machine Learning - AI

MARCH 18, 2025

Solution overview The following diagram illustrates the solution architecture. Solution overview: patient reporting and analysis in clinical trials Key AWS services used in this solution include Amazon Simple Storage Service (Amazon S3), AWS HealthScribe , Amazon Transcribe , and Amazon Bedrock. An AWS account.

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