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. This approach lets the model learn how to interpret tool definitions and make appropriate function calls based on user queries.

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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.

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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.

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Flipboard

APRIL 21, 2025

In this post, to address the aforementioned challenges, we introduce an automated evaluation framework that is deployable on AWS. We then present a typical evaluation workflow, followed by our AWS-based solution that facilitates this process. The UI service can be run locally in a Docker container or deployed to AWS Fargate.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

Extraction – A document schema definition is used to formulate the prompt and documents are embedded into the prompt and sent to Amazon Bedrock for extraction. To find the URL, open the AWS Management Console for SageMaker and choose Ground Truth and then Labeling workforces in the navigation pane. edit cdk.json Deploy the application.

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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.

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AWS Machine Learning Blog

FEBRUARY 27, 2025

No definite pneumonia. This indicates that the key findings from the radiology report are the presence of a moderate hiatal hernia and the absence of any definite pneumonia. Data ScientistGenerative AI, Amazon Bedrock, where he contributes to cutting edge innovations in foundational models and generative AI applications at AWS.

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AWS Machine Learning Blog

MARCH 12, 2024

In this post, we explore what an audience overlap analysis is, discuss the current technical approaches and their challenges, and illustrate how you can run secure audience overlap analysis using AWS Clean Rooms. With AWS Clean Rooms, you can create a data clean room in minutes and collaborate with your partners to generate unique insights.

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Flipboard

DECEMBER 3, 2024

Apple uses custom Trainium and Graviton artificial intelligence chips from Amazon Web Services for search services, Apple machine learning and AI director Benoit Dupin said today at the AWS re:Invent conference (via CNBC). Dupin said that Amazon's AI chips are "reliable, definite, and able to serve …

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AWS Machine Learning Blog

APRIL 16, 2024

Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on. AWS CloudFormation provides and configures those resources on your behalf, removing the risk of human error when deploying bots to new environments. Resources: # 1.

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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.

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AWS Machine Learning Blog

APRIL 7, 2025

By caching the system prompts and complex tool definitions, the time to process each step in the agentic flow can be reduced. Amazon Web Services (AWS) offers AWS Network Firewall, a stateful, managed network firewall that includes intrusion detection and prevention (IDP) for your Amazon Virtual Private Cloud (VPC)."nn[2]

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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.

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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.

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Flipboard

NOVEMBER 20, 2024

Prerequisites Before proceeding with this tutorial, make sure you have the following in place: AWS account – You should have an AWS account with access to Amazon Bedrock. When you send a message to a model, you can provide definitions for one or more tools that could potentially help the model generate a response.

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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.

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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.

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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.

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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.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

At AWS, we are committed to developing AI responsibly , taking a people-centric approach that prioritizes education, science, and our customers, integrating responsible AI across the end-to-end AI lifecycle. For human-in-the-loop evaluation, which can be done by either AWS managed or customer managed teams, you must bring your own dataset.

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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.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

In addition to its groundbreaking AI innovations, Zeta Global has harnessed Amazon Elastic Container Service (Amazon ECS) with AWS Fargate to deploy a multitude of smaller models efficiently. The following figure shows schema definition and model which reference it. There’s no sharing of underlying compute resources with other tenants.

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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.

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AWS Machine Learning Blog

APRIL 29, 2024

For AWS and Outerbounds customers, the goal is to build a differentiated machine learning and artificial intelligence (ML/AI) system and reliably improve it over time. First, the AWS Trainium accelerator provides a high-performance, cost-effective, and readily available solution for training and fine-tuning large models.

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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.

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AWS Machine Learning Blog

OCTOBER 15, 2024

Traditionally, developers have had two options when working with SageMaker: the AWS SDK for Python , also known as boto3 , or the SageMaker Python SDK. The container definition is an object now, specifying the container definition that includes the large model inference (LMI) container image and the HuggingFace model ID.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. Innovative startups like Perplexity AI are going all in on AWS for generative AI.

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ODSC - Open Data Science

APRIL 4, 2025

To get started with LLM-automated labeling, select a foundational model from OpenAI, AWS Bedrock, Microsoft Azure, HuggingFace, or other providers available in Datasaurs LLM Labs. Choose and Configure aModel There are many LLMs on the market and every week we see new innovations.

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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.

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AWS Machine Learning Blog

JANUARY 31, 2025

With a serverless solution, AWS provides a managed solution, facilitating lower cost of ownership and reduced complexity of maintenance. Were excited to see how Travelers and AWS have harnessed these capabilities to create such an efficient solution, demonstrating the potential for AI to transform insurance processes.

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AWS Machine Learning Blog

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 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.

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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).

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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).

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AWS Machine Learning Blog

DECEMBER 18, 2024

Prerequisites Before proceeding, make sure that you have the necessary AWS account permissions and services enabled, along with access to a ServiceNow environment with the required privileges for configuration. AWS Have an AWS account with administrative access. For AWS Secrets Manager secret, choose Create and add a new secret.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

At AWS, were using the power of models in Amazon Bedrock to drive automation of complex processes that have traditionally been challenging to streamline. The APIs standardized approach to tool definition and function calling provides consistent interaction patterns across different processing stages. Access to the Anthropics Claude 3.5

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AWS Machine Learning Blog

DECEMBER 10, 2024

authentication , for AWS Secrets Manager secret , select Create and add a new secret or Use an existing one. For this example, we create a new AWS Secrets Manager secrets). In the Create new AWS Secrets Manager secret pop-up, enter the following information: For Secret name , enter a name for your secret. For example, [link].

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