AWS Machine Learning

JANUARY 24, 2025

The workflow steps are as follows: The user submits an Amazon Bedrock fine-tuning job within their AWS account, using IAM for resource access. The fine-tuning job initiates a training job in the model deployment accounts. Choose Create security group. You use this security group later during model customization job creation.

Best practices 112

Best practices Accountability industry standards Metrics 112

AWS Machine Learning

NOVEMBER 15, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 109

APIs Government Best practices Metrics 109

AWS Machine Learning

JANUARY 12, 2023

This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. The adoption of Logstash was initially done seamlessly. text(logData).build();

Engineering 126

Engineering APIs Accountability Metrics 126

AWS Machine Learning

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 90

APIs Accountability Scripts Enterprise 90

AWS Machine Learning

FEBRUARY 11, 2025

We use various AWS services to deploy a complete solution that you can use to interact with an API providing real-time weather information. Amazon Bedrock Agents forwards the details from the user query to the action groups, which further invokes custom Lambda functions. In this solution, we use Amazon Bedrock Agents.

APIs 80

APIs Enterprise Accountability Management 80

AWS Machine Learning

FEBRUARY 13, 2024

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

Accountability 127

Accountability Government Engineering Scripts 127

AWS Machine Learning

JANUARY 14, 2025

The embedding model, which is hosted on the same EC2 instance as the local LLM API inference server, converts the text chunks into vector representations. The prompt is forwarded to the local LLM API inference server instance, where the prompt is tokenized and is converted into a vector representation using the local embedding model.

APIs 97

APIs Chatbots Enterprise Healthcare 97

AWS Machine Learning

SEPTEMBER 20, 2024

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. The ReAct approach enables agents to generate reasoning traces and actions while seamlessly integrating with company systems through action groups.

APIs 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 115

APIs Benchmark Construction Enterprise 115

AWS Machine Learning

DECEMBER 9, 2024

Prerequisites You need an AWS account with an AWS Identity and Access Management (IAM) role with permissions to manage resources created as part of the solution. For details, see Creating an AWS account. We define the SageMaker-associated private subnets and security group in the configuration file.

Metrics 95

Metrics APIs Engineering Accountability 95

AWS Machine Learning

JANUARY 28, 2025

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

Management 104

Management APIs Engineering Metrics 104

AWS Machine Learning

JUNE 19, 2023

For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment. With SSO mode, you set up an SSO user and group in IAM Identity Center and then grant access to either the SSO group or user from the Studio console.

APIs 92

APIs Accountability Construction Enterprise 92

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs 141

APIs Big data Accountability Enterprise 141

AWS Machine Learning

FEBRUARY 25, 2025

These delays can lead to missed security errors or compliance violations, especially in complex, multi-account environments. Amazon Bedrock Agents is a fully managed service that helps developers create AI agents that can break down complex tasks into steps and execute them using FMs and APIs to accomplish specific business objectives.

APIs 63

APIs Accountability Engineering Construction 63

AWS Machine Learning

JULY 30, 2024

Amazon Q Business uses AWS IAM Identity Center to record the workforce users you assign access to and their attributes, such as group associations. Because Identity Center serves as their common reference of your users and groups, these AWS applications can give your users a consistent experience as they navigate AWS.

APIs 126

APIs Enterprise Accountability Management 126

AWS Machine Learning

MARCH 27, 2025

Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. Test the code using the native inference API for Anthropics Claude The following code uses the native inference API to send a text message to Anthropics Claude. client = boto3.client("bedrock-runtime",

Education 91

Education Engineering APIs Enterprise 91

AWS Machine Learning

FEBRUARY 9, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

SaaS 144

SaaS APIs Government Accountability 144

Nexmo

NOVEMBER 10, 2020

Luckily for us, Vonage has a fantastic API for tracking phone calls ! We’ll use the Vonage API and build a.NET Core application that stores and displays this information by using event sourcing. Vonage API Account. To complete this tutorial, you will need a Vonage API account. Prerequisites.

APIs 139

APIs Accountability 139

AWS Machine Learning

FEBRUARY 21, 2025

The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. This enables the FMs to not just process text, but to actively engage with various external tools and APIs to perform complex document analysis tasks. For more details on how tool use works, refer to The complete tool use workflow.

APIs 85

APIs Healthcare Consulting Consulting 85

AWS Machine Learning

JULY 29, 2024

You can authenticate Amazon Q Business to Jira using basic authentication with a Jira ID and Jira API token. To authenticate using basic authentication, you create a secret using AWS Secrets Manager with your Jira ID and Jira API token. See Manage API tokens for your Atlassian account for instructions to create an API token.

Customer Support 123

Customer Support APIs Management Enterprise 123

AWS Machine Learning

MARCH 3, 2025

They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Prerequisites To run this demo, complete the following prerequisites: Create an AWS account , if you dont already have one. Create a security group or select an existing one. Delete the security groups and subnets.

APIs 71

APIs Benchmark Metrics Healthcare 71

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 97

Accountability Best practices Scripts Engineering 97

AWS Machine Learning

AUGUST 22, 2024

AWS recommends using AWS Identity Center if you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. This SAML or OIDC IAM identity provider is required for you to create an Amazon Q Business application.

Enterprise 127

Enterprise APIs Accountability Management 127

AWS Machine Learning

FEBRUARY 11, 2025

Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. For example, the Datastore API might require certain input like date periods to query data. Configure IAM Identity Center You can only have one IAM Identity Center instance per account.

Enterprise 91

Enterprise Engineering APIs Best practices 91

AWS Machine Learning

FEBRUARY 28, 2025

You can integrate Smartsheet to Amazon Q Business through the AWS Management Console , AWS Command Line Interface (AWS CLI), or the CreateDataSource API. In Smartsheet Have access to the Smartsheet Event Reporting API. In your AWS account Create an Amazon Q Business application. A Smartsheet access token.

APIs 66

APIs Enterprise Accountability Management 66

AWS Machine Learning

JANUARY 29, 2025

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

Enterprise 87

Enterprise Government Accountability Finance 87

AWS Machine Learning

MARCH 4, 2025

Data privacy and network security With Amazon Bedrock, you are in control of your data, and all your inputs and customizations remain private to your AWS account. Your data remains in the AWS Region where the API call is processed. It is highly recommended that you use a separate AWS account and setup AWS Budget to monitor the costs.

Best practices 96

Best practices Enterprise Engineering Strategic Value 96

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 140

APIs Scripts Enterprise Management 140

AWS Machine Learning

AUGUST 22, 2024

Although it’s recommended to have an IAM Identity Center instance configured (with users federated and groups added) before you start, you can also choose to create and configure an IAM Identity Center instance for your Amazon Q Business application using the Amazon Q console. Similarly for pages and blogs, you use the restrictions page.

APIs 109

APIs Enterprise Accountability Management 109

AWS Machine Learning

FEBRUARY 25, 2025

Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account Access to the Alation service with the ability to create new policies and access tokens. Grouped as Workplace, HR, and Regulatory, each policy contains a rough two-page summary of crucial organizational items of interest.

Enterprise 92

Enterprise Engineering APIs Accountability 92

AWS Machine Learning

JULY 11, 2024

Diagram analysis and query generation : The Amazon Bedrock agent forwards the architecture diagram location to an action group that invokes an AWS Lambda. On receiving confirmation from the user, the agent passes this information to the second action group to generate IaC. Create a service role for Agents for Amazon Bedrock.

Scripts 135

Scripts APIs Engineering industry standards 135

AWS Machine Learning

MAY 1, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Chatbots 128

Chatbots APIs Engineering Automotive 128

AWS Machine Learning

NOVEMBER 17, 2023

The action is an API that the model can invoke from an allowed set of APIs. Action groups are tasks that the agent can perform autonomously. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls. A set of actions comprise an action group.

APIs 112

APIs Customer Service Construction Analytics 112

AWS Machine Learning

JULY 17, 2024

In this post, we’re using the APIs for AWS Support , AWS Trusted Advisor , and AWS Health to programmatically access the support datasets and use the Amazon Q Business native Amazon Simple Storage Service (Amazon S3) connector to index support data and provide a prebuilt chatbot web experience. Synchronize the data source to index the data.

Scripts 121

Scripts APIs Enterprise Accountability 121

AWS Machine Learning

JULY 17, 2023

As described in the AWS Well-Architected Framework , separating workloads across accounts enables your organization to set common guardrails while isolating environments. Organizations with a multi-account architecture typically have Amazon Redshift and SageMaker Studio in two separate AWS accounts.

Accountability 86

Accountability APIs Best practices Management 86

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Solution overview The solution comprises two main steps: Generate synthetic data using the Amazon Bedrock InvokeModel API.

APIs 74

APIs Management Benchmark Scripts 74

AWS Machine Learning

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The following diagram illustrates the web interface and API management layer.

Real estate 128

Real estate APIs Metrics Construction 128