AWS Machine Learning Blog

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. AWS Landing Zone addresses this need by offering a standardized approach to deploying AWS resources.

AWS 120

AWS AI AI Artificial Intelligence 120

AWS Machine Learning Blog

SEPTEMBER 4, 2024

A challenge for DevOps engineers is the additional complexity that comes from using Kubernetes to manage the deployment stage while resorting to other tools (such as the AWS SDK or AWS CloudFormation ) to manage the model building pipeline. This entire workflow is shown in the following solution diagram. yq for YAML processing.

AWS 95

AWS Clustering ML ML 95

Towards AI

OCTOBER 4, 2024

this article, we will deploy resources on AWS through Terraform and create a CI/CD pipeline on Gitlab to automate the deployment process. You require the following tools for this project: AWS account and a user account — Preferred cloud computing resources provider that offers a free tier. You can follow this tutorial to install it.

AWS 115

AWS Cloud Computing Database AI 115

AWS Machine Learning Blog

FEBRUARY 6, 2024

QnABot on AWS is an open source solution built using AWS native services like Amazon Lex , Amazon OpenSearch Service , AWS Lambda , Amazon Transcribe , and Amazon Polly. In this post, we demonstrate how to integrate the QnABot on AWS chatbot solution with ServiceNow. QnABot version 5.4+ Provide a name for the bot.

AWS 118

AWS AI AI ML 118

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 117

AWS AI AI Computer Science 117

AWS Machine Learning Blog

JANUARY 24, 2024

We demonstrate how to build an end-to-end RAG application using Cohere’s language models through Amazon Bedrock and a Weaviate vector database on AWS Marketplace. Additionally, you can securely integrate and easily deploy your generative AI applications using the AWS tools you are already familiar with.

AWS 131

AWS Database AI AI 131

AWS Machine Learning Blog

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. Classify the video into IAB categories.

AWS 131

AWS AI AI ML 131

AWS Machine Learning Blog

MAY 31, 2023

In late 2022, AWS announced the general availability of Amazon EC2 Trn1 instances powered by AWS Trainium accelerators, which are purpose built for high-performance deep learning training. Solution overview We walk you through the following high-level steps: Provision an ECS cluster of Trn1 instances with AWS CloudFormation.

AWS 94

AWS Machine Learning Machine Learning Clustering 94

AWS Machine Learning Blog

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. The data scientist is responsible for moving the code into SageMaker, either manually or by cloning it from a code repository such as AWS CodeCommit.

AWS 127

AWS Machine Learning Machine Learning Data Scientist 127

Smart Data Collective

JULY 31, 2020

AWS has become a surprisingly popular platform. Many specialists who made it to the top have a definite plan that enables them to make steady progress every time. Summary of AWS Credentials. The AWS certifications are broadly categorized into four levels. AWS Certified Cloud Practitioner: Certification Overview.

AWS 97

AWS Cloud Computing 97

AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

AWS 116

AWS AI AI K-nearest Neighbors 116

AWS Machine Learning Blog

OCTOBER 26, 2023

Our innovative new A-POPs (or vending machines) deliver enhanced customer experiences at ten times lower cost because of the performance and cost advantages AWS Inferentia delivers. Unlocking high-performance and cost-effective inference using AWS Inferentia As retailers look to scale operations, cost of A-POPs becomes a consideration.

AWS 117

AWS ML ML AI 117

AWS Machine Learning Blog

DECEMBER 23, 2024

Lettria , an AWS Partner, demonstrated that integrating graph-based structures into RAG workflows improves answer precision by up to 35% compared to vector-only retrieval methods. In this post, we explore why GraphRAG is more comprehensive and explainable than vector RAG alone, and how you can use this approach using AWS services and Lettria.

AWS 118

AWS AI AI Natural Language Processing 118

AWS Machine Learning Blog

SEPTEMBER 15, 2023

In this post, we introduce LLM agents and demonstrate how to build and deploy an e-commerce LLM agent using Amazon SageMaker JumpStart and AWS Lambda. To power the LLM agent, we use a Flan-UL2 model deployed as a SageMaker endpoint and use data retrieval tools built with AWS Lambda. helper function definitions.

AWS 118

AWS Database Python Computer Science 118

AWS Machine Learning Blog

NOVEMBER 26, 2024

Solution overview The solution constitutes a best-practice Amazon SageMaker domain setup with a configurable list of domain user profiles and a shared SageMaker Studio space using the AWS Cloud Development Kit (AWS CDK). The AWS CDK is a framework for defining cloud infrastructure as code. The AWS CDK installed.

AWS 76

AWS Data Scientist ML ML 76

Flipboard

NOVEMBER 17, 2023

The following code is a sample index definition: { "mappings": { "dynamic": true, "fields": { "egVector": { "dimensions": 384, "similarity": "euclidean", "type": "knnVector" } } } } Note that the dimension must match you embeddings model dimension. As always, AWS welcomes feedback. Before testing, choose the gear icon.

K-nearest Neighbors 170

K-nearest Neighbors AWS Clustering Database 170

AWS Machine Learning Blog

AUGUST 30, 2023

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. This is why QnABot also integrates with any other LLM using an AWS Lambda function that you provide. QnABot can retrieve relevant passages from an Amazon Kendra index (containing AWS documentation).

AWS 119

AWS AI AI Analytics 119

AWS Machine Learning Blog

MAY 4, 2023

This post provides an overview of generative AI with a real customer use case, provides a concise description and outlines its benefits, references an easy-to-follow demo of AWS DeepComposer for creating new musical compositions, and outlines how to get started using Amazon SageMaker JumpStart for deploying GPT2, Stable Diffusion 2.0,

AWS 92

AWS AI AI ML 92

AWS Machine Learning Blog

APRIL 25, 2024

In AWS, the FMEval library within Amazon SageMaker Clarify streamlines the evaluation and selection of foundation models (FMs) for tasks like text summarization, question answering, and classification. To learn more about FMEval in AWS and how to use it effectively, refer to Use SageMaker Clarify to evaluate large language models.

AWS 122

AWS Algorithm Artificial Intelligence Artificial Intelligence 122

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 99

AWS ML ML Machine Learning 99

AWS Machine Learning Blog

MAY 1, 2024

Following the Cost Optimization pillar of the AWS Well-Architected Framework further led to implementing an AWS Graviton architecture using AWS Lambda and an infrequently accessed Amazon DynamoDB table class. To accelerate development, UI components such as buttons and input boxes come from the AWS Cloudscape Design library.

AWS 113

AWS Artificial Intelligence Artificial Intelligence AI 113

AWS Machine Learning Blog

MAY 8, 2023

In a previous post , we discussed MLflow and how it can run on AWS and be integrated with SageMaker—in particular, when tracking training jobs as experiments and deploying a model registered in MLflow to the SageMaker managed infrastructure. To automate the infrastructure deployment, we use the AWS Cloud Development Kit (AWS CDK).

AWS 73

AWS Data Science Machine Learning Machine Learning 73

IBM Journey to AI blog

MARCH 20, 2024

In the rest of this paper, we will explore how Cloud Pak for Integration, deployed on Red Hat OpenShift is the best way to provide integrations deploying in AWS. ROSA is jointly engineered and supported by AWS and Red Hat.  Why ROSA for Cloud Pak for Integration in AWS? What is ROSA? Interested to hear more?

AWS 78

AWS Clustering AI AI 78

AWS Machine Learning Blog

APRIL 16, 2024

IAM role – SageMaker requires an AWS Identity and Access Management (IAM) role to be assigned to a SageMaker Studio domain or user profile to manage permissions effectively. Create database connections The built-in SQL browsing and execution capabilities of SageMaker Studio are enhanced by AWS Glue connections. or later image versions.

SQL 106

SQL AWS Database Data Scientist 106

AWS Machine Learning Blog

AUGUST 21, 2023

Data is frequently kept in data lakes that can be managed by AWS Lake Formation , giving you the ability to implement fine-grained access control using a straightforward grant or revoke procedure. You can use the provided AWS CloudFormation stack to set up the architectural components for this solution. compute.internal.

AWS 85

AWS Data Lakes Clustering Data Preparation 85

AWS Machine Learning Blog

OCTOBER 14, 2024

In this post, we show how to create a multimodal chat assistant on Amazon Web Services (AWS) using Amazon Bedrock models, where users can submit images and questions, and text responses will be sourced from a closed set of proprietary documents. For this post, we recommend activating these models in the us-east-1 or us-west-2 AWS Region.

AWS 118

AWS AI AI System Architecture 118

AWS Machine Learning Blog

AUGUST 27, 2024

Currently, users might have to engineer their applications to handle scenarios involving traffic spikes that can use service quotas from multiple regions by implementing complex techniques such as client-side load balancing between AWS regions, where Amazon Bedrock service is supported. Become more resilient to any traffic bursts.

AWS 138

AWS AI AI ML 138

AWS Machine Learning Blog

DECEMBER 19, 2023

PwC Machine Learning Ops Accelerator, built on top of AWS native services, delivers a fit-for-purpose solution that easily integrates into the ML use cases with ease for customers across all industries. The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this.

Machine Learning 119

Machine Learning Machine Learning AWS Analytics 119

AWS Machine Learning Blog

NOVEMBER 26, 2024

However, in a practical cache system, it’s crucial to refine the definition of similarity. 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.

AWS 119

AWS Machine Learning Machine Learning AI 119

AWS Machine Learning Blog

NOVEMBER 7, 2024

Developer tools The solution also uses the following developer tools: AWS Powertools for Lambda – This is a suite of utilities for Lambda functions that generates OpenAPI schemas from your Lambda function code. It provides constructs to help developers build generative AI applications using pattern-based definitions for your infrastructure.

AWS 119

AWS Python AI AI 119

AWS Machine Learning Blog

OCTOBER 2, 2023

On top of that, the whole process can be configured and managed via the AWS SDK, which is what we use to orchestrate our labeling workflow as part of our CI/CD pipeline. For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth.

AWS 110

AWS Internet of Things ML ML 110

Hacker News

SEPTEMBER 15, 2024

Amazon Web Services (AWS) got there ahead of most of the competition, when they purchased chip designer Annapurna Labs in 2015 and proceeded to design CPUs, AI accelerators, servers, and data centers as a vertically-integrated operation. Rami Sinno AWS Rami Sinno : Amazon is my first vertically integrated company. Tell no one.”

AWS 181

AWS EDA Machine Learning Machine Learning 181

AWS Machine Learning Blog

SEPTEMBER 8, 2023

We’ll cover how technologies such as Amazon Textract, AWS Lambda , Amazon Simple Storage Service (Amazon S3), and Amazon OpenSearch Service can be integrated into a workflow that seamlessly processes documents. The main concepts used are the AWS Cloud Development Kit (CDK) constructs, the actual CDK stacks and AWS Step Functions.

AWS 118

AWS Clustering ML ML 118

AWS Machine Learning Blog

JUNE 4, 2024

Terraform is an IaC tool that allows you to manage AWS resources, software as a service (SaaS) resources, datasets, and more, using declarative configuration. Prerequisites This solution requires the following prerequisites: An AWS account. Terraform provides the benefits of automation, versioning, and repeatability.

AWS 126

AWS Python Artificial Intelligence Artificial Intelligence 126

AWS Machine Learning Blog

MARCH 26, 2024

Prerequisites To deploy this solution, you must have the following: An AWS account. An AWS Cloud9 environment. AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. To create the AWS Cloud9 environment, provide a name and description.

AWS 108

AWS Analytics Analytics ML 108

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. The following diagram illustrates the solution architecture.

Machine Learning 125

Machine Learning Machine Learning ML ML 125

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Prerequisites To continue with the examples in this post, you need to create the required AWS resources.

ML 123

ML ML AWS Data Warehouse 123