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Accelerate AWS Well-Architected reviews with Generative AI

Flipboard

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. In this post, we explore a generative AI solution leveraging Amazon Bedrock to streamline the WAFR process.

AWS

AWS AI AI Database

Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning Blog

NOVEMBER 6, 2024

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

AWS

AWS Python AI AI

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

AWS Machine Learning Blog

DECEMBER 24, 2024

To reduce costs while continuing to use the power of AI , many companies have shifted to fine tuning LLMs on their domain-specific data using Parameter-Efficient Fine Tuning (PEFT). Manually managing such complexity can often be counter-productive and take away valuable resources from your businesses AI development.

AWS

AWS Clustering Deep Learning Deep Learning

Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning Blog

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3.

AWS

AWS Database K-nearest Neighbors AI

Run small language models cost-efficiently with AWS Graviton and Amazon SageMaker AI

Flipboard

JUNE 5, 2025

As organizations look to incorporate AI capabilities into their applications, large language models (LLMs) have emerged as powerful tools for natural language processing tasks. AWS has always provided customers with choice. Prerequisites To implement this solution, you need an AWS account with the necessary permissions.

AWS

AWS AI AI ML

Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow

AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

AWS

AWS ML ML Data Scientist

Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0

AWS Machine Learning Blog

JANUARY 31, 2025

By applying AI to these digitized WSIs, researchers are working to unlock new insights and enhance current annotations workflows. The recent addition of H-optimus-0 to Amazon SageMaker JumpStart marks a significant milestone in making advanced AI capabilities accessible to healthcare organizations.

AWS

AWS Supervised Learning ML ML

How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning Blog

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. The following screenshot shows an example of an interaction with Field Advisor.

AWS

AWS Database AI AI

Generate AWS Resilience Hub findings in natural language using Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 18, 2024

In this post, we explore how to use the power of AWS Resilience Hub and Amazon Bedrock to bridge this gap and streamline the process of sharing architectural findings across your organization. Prerequisites For this walkthrough, the following are required: An AWS account. AWS Management Console access. A Python 3.12 environment.

AWS

AWS AI AI Machine Learning

Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

AWS Machine Learning Blog

JANUARY 7, 2025

Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. To address this need, AWS generative AI best practices framework was launched within AWS Audit Manager , enabling auditing and monitoring of generative AI applications.

AWS

AWS AI AI Database

Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips

AWS Machine Learning Blog

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. xlarge instances are only available in these AWS Regions. You will use inf2.xlarge xlarge as your instance type.

AWS

AWS AI AI Artificial Intelligence

Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning Blog

APRIL 1, 2025

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

AWS

AWS AI AI Python

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

Flipboard

JUNE 17, 2025

You can chat with your structured data by setting up structured data ingestion from AWS Glue Data Catalog tables and Amazon Redshift clusters in a few steps, using the power of Amazon Bedrock Knowledge Bases structured data retrieval. Developers often face challenges integrating structured data into generative AI applications.

AWS

AWS SQL Database Natural Language Processing

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.

AWS

AWS AI AI Machine Learning

Build scalable containerized RAG based generative AI applications in AWS using Amazon EKS with Amazon Bedrock

Flipboard

MAY 13, 2025

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didnt have during training. Install the AWS Command Line Interface (AWS CLI). In this solution, we use Anthropics Claude 3.5

AWS

AWS AI AI Clustering

Create a generative AI assistant with Slack and Amazon Bedrock

Flipboard

NOVEMBER 27, 2024

In this post, we show you how to integrate the popular Slack messaging service with AWS generative AI services to build a natural language assistant where business users can ask questions of an unstructured dataset. In this solution, we have enabled the AWS provided profanity filter.

AWS

AWS AI AI Database

Accelerate edge AI development with SiMa.ai Edgematic with a seamless AWS integration

AWS Machine Learning Blog

MAY 16, 2025

This post is co-authored by Manuel Lopez Roldan, SiMa.ai, and Jason Westra, AWS Senior Solutions Architect. With Amazon SageMaker AI and SiMa.ais Palette Edgematic platform, you can efficiently build, train, and deploy optimized ML models at the edge for a variety of use cases. If you dont have an AWS account, you can create one.

AWS

AWS ML ML AI

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. This solution ingests and processes data from hundreds of thousands of support tickets, escalation notices, public AWS documentation, re:Post articles, and AWS blog posts.

AWS

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

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.

AWS

AWS AI AI SQL

Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows

AWS Machine Learning Blog

MARCH 20, 2025

As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows , which is a collection of curated AWS Systems Manager self-service automation runbooks. The agent uses Anthropics Claude 3.5

AWS

AWS Clustering AI AI

AutoHRise: An AI-Powered Hiring Assistant with Agentic AI, Crew AI, and Watsonx AI

IBM Data Science in Practice

JUNE 19, 2025

Understanding the power of the Agentic AI using Crew AI with the Watsonx AI and Discovery. AutoHRise an AI-powered recruitment agentic assistant, automates the hiring process, reducing time-to-hire and improving candidate experience. What is Agentic AI?: It works with a variety of AI models. How It Works: 1.

AI

AI AI Python Data Science

Build a Search Engine: Setting Up AWS OpenSearch

Flipboard

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?

AWS

AWS Clustering Deep Learning Deep Learning

Revolutionizing knowledge management: VW’s AI prototype journey with AWS

AWS Machine Learning Blog

NOVEMBER 21, 2024

Today, we’re excited to share the journey of the VW —an innovator in the automotive industry and Europe’s largest car maker—to enhance knowledge management by using generative AI , Amazon Bedrock , and Amazon Kendra to devise a solution based on Retrieval Augmented Generation (RAG) that makes internal information more easily accessible by its users.

AWS

AWS AI AI Machine Learning

Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning Blog

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks.

AI

AI AI AWS Machine Learning

Reduce conversational AI response time through inference at the edge with AWS Local Zones

AWS Machine Learning Blog

MARCH 3, 2025

Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). Conversational AI assistants are typically deployed directly on users devices, such as smartphones, tablets, or desktop computers, enabling quick, local processing of voice or text input.

AWS

AWS AI AI Deep Learning

Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 14, 2024

Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. This tutorial assumes you have the necessary AWS Identity and Access Management (IAM) permissions. Install Python 3.7 or later on your local machine.

AWS

AWS Python AI AI

Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub

AWS Machine Learning Blog

OCTOBER 18, 2024

In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. After fine-tuning, we show you how to optimize the model with Qualcomm AI Hub so that it’s ready for deployment across edge devices powered by Snapdragon and Qualcomm platforms.

AWS

AWS AI AI Machine Learning

Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex

AWS Machine Learning Blog

OCTOBER 30, 2024

Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. Additionally, we discuss how to handle integrations with AWS Lambda and Amazon CloudWatch after enabling Global Resiliency. We walk through the instructions to replicate the bot later in this post.

AWS

AWS AI AI Natural Language Processing

Deploy a serverless web application to edit images using Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 21, 2024

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. However, by using various AWS services, you can quickly deploy a serverless solution to edit images. However, by using various AWS services, you can quickly deploy a serverless solution to edit images.

AWS

AWS AI AI Artificial Intelligence

Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

NOVEMBER 27, 2024

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

AWS

AWS Database ML ML

Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning Blog

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. Prerequisites You should have the following prerequisites: An AWS account with access to Amazon Bedrock.

AWS

AWS ML ML AI

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Flipboard

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

AWS

AWS ML ML Natural Language Processing

Evaluate healthcare generative AI applications using LLM-as-a-judge on AWS

AWS Machine Learning Blog

FEBRUARY 27, 2025

In our previous blog posts, we explored various techniques such as fine-tuning large language models (LLMs), prompt engineering, and Retrieval Augmented Generation (RAG) using Amazon Bedrock to generate impressions from the findings section in radiology reports using generative AI. Part 1 focused on model fine-tuning.

AWS

AWS AI AI ML

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

AWS Machine Learning Blog

DECEMBER 2, 2024

The generative AI landscape has been rapidly evolving, with large language models (LLMs) at the forefront of this transformation. As LLMs continue to expand, AI engineers face increasing challenges in deploying and scaling these models efficiently for inference. During our performance testing we were able to load the llama-3.1-70B

AWS

AWS Machine Learning Machine Learning ML

Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

Flipboard

APRIL 18, 2025

AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. The introduction of multi-agent collaboration now enables organizations to orchestrate multiple specialized AI agents working together to tackle complex, multi-step challenges that require diverse expertise.

AWS

AWS AI AI Artificial Intelligence

Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks

Flipboard

APRIL 1, 2025

Foundation models (FMs) and generative AI are transforming enterprise operations across industries. McKinsey & Companys recent research estimates generative AI could contribute up to $4.4 McKinsey & Companys recent research estimates generative AI could contribute up to $4.4

AWS

AWS AI AI Computer Science

Llama 3.3 70B now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

DECEMBER 16, 2024

In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI , using advanced SageMaker AI features for optimal performance and cost management. 405B by less than 2% in 6 out of 10 standard AI benchmarks and actually outperforming it in three categories. Overview of the Llama 3.3 70B model Llama 3.3

AWS

AWS ML ML Python

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

AWS Machine Learning Blog

NOVEMBER 15, 2024

This trend toward multimodality enhances the capabilities of AI systems in tasks like cross-modal retrieval, where a query in one modality (such as text) retrieves data in another modality (such as images or design files). All businesses, across industry and size, can benefit from multimodal AI search.

AWS

AWS Computer Science Computer Science Database

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

OCTOBER 24, 2024

Prerequisites Before you begin, make sure you have the following prerequisites in place: An AWS account and role with the AWS Identity and Access Management (IAM) privileges to deploy the following resources: IAM roles. Open the AWS Management Console, go to Amazon Bedrock, and choose Model access in the navigation pane.

Data Warehouse

Data Warehouse Machine Learning Machine Learning Cloud Data

Automate document processing with Amazon Bedrock Prompt Flows (preview)

AWS Machine Learning Blog

OCTOBER 29, 2024

However, the rise of intelligent document processing (IDP), which uses the power of artificial intelligence and machine learning (AI/ML) to automate the extraction, classification, and analysis of data from various document types is transforming the game. The Amazon S3 upload triggers an AWS Lambda function execution.

AWS

AWS ML ML Machine Learning

Llama 3.1: All You Need to Know About Meta’s Latest LLM

Data Science Dojo

JULY 24, 2024

In the rapidly evolving landscape of artificial intelligence, open-source large language models (LLMs) are emerging as pivotal tools for democratizing AI technology and fostering innovation. marks a significant milestone in the large language model (LLM) world by democratizing access to advanced AI technology. Llama 3.1,

Azure

Azure AWS AI Artificial Intelligence

Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

Flipboard

MAY 2, 2025

The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation.

AI

AI AI AWS Machine Learning

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

Flipboard

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce a new feature for Amazon SageMaker inference endpoints: the ability to scale SageMaker inference endpoints to zero instances. This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud.

ML

ML ML AWS Machine Learning

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

AWS Machine Learning Blog

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Despite their wealth of general knowledge, state-of-the-art LLMs only have access to the information they were trained on.

AWS

AWS Database AI AI

Accelerate AWS Well-Architected reviews with Generative AI

Build and deploy a UI for your generative AI applications with AWS and Python

Trending Sources

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

Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

Run small language models cost-efficiently with AWS Graviton and Amazon SageMaker AI

Accelerating ML experimentation with enhanced security: AWS PrivateLink support for Amazon SageMaker with MLflow

Accelerate digital pathology slide annotation workflows on AWS using H-optimus-0

How AWS sales uses Amazon Q Business for customer engagement

Generate AWS Resilience Hub findings in natural language using Amazon Bedrock

Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips

Introducing AWS MCP Servers for code assistants (Part 1)

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

WordFinder app: Harnessing generative AI on AWS for aphasia communication

Build scalable containerized RAG based generative AI applications in AWS using Amazon EKS with Amazon Bedrock

Create a generative AI assistant with Slack and Amazon Bedrock

Accelerate edge AI development with SiMa.ai Edgematic with a seamless AWS integration

Amazon Q Business simplifies integration of enterprise knowledge bases at scale

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

Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows

AutoHRise: An AI-Powered Hiring Assistant with Agentic AI, Crew AI, and Watsonx AI

Build a Search Engine: Setting Up AWS OpenSearch

Revolutionizing knowledge management: VW’s AI prototype journey with AWS

Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

Reduce conversational AI response time through inference at the edge with AWS Local Zones

Automate invoice processing with Streamlit and Amazon Bedrock

Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub

Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex

Deploy a serverless web application to edit images using Amazon Bedrock

Search enterprise data assets using LLMs backed by knowledge graphs

Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Evaluate healthcare generative AI applications using LLM-as-a-judge on AWS

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

Build a FinOps agent using Amazon Bedrock with multi-agent capability and Amazon Nova as the foundation model

Minimize generative AI hallucinations with Amazon Bedrock Automated Reasoning checks

Llama 3.3 70B now available in Amazon SageMaker JumpStart

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

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

Automate document processing with Amazon Bedrock Prompt Flows (preview)

Llama 3.1: All You Need to Know About Meta’s Latest LLM

Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

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