AWS Machine Learning

MARCH 14, 2025

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Model Action Group Signature Anthropics Claude 3.5

APIs 136

APIs Engineering CRM Enterprise 136

AWS Machine Learning

APRIL 3, 2025

Each drone follows predefined routes, with flight waypoints, altitude, and speed configured through an AWS API, using coordinates stored in Amazon DynamoDB. API Gateway plays a complementary role by acting as the main entry point for external applications, dashboards, and enterprise integrations.

APIs 117

APIs Telecommunications Enterprise Best practices 117

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.

APIs 119

APIs Scripts Best practices Management 119

AWS Machine Learning

DECEMBER 18, 2024

This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL. The final step of the solution involves enhancing the application environment with a custom plugin for ServiceNow using APIs defined in an OpenAPI schema.

APIs 99

APIs Enterprise Accountability Government 99

AWS Machine Learning

OCTOBER 30, 2024

Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs. In this section, we associate a Lambda function and CloudWatch group for the BookHotel bot in the source Region ( us-east-1 ) and validate its association in the replica Region ( us-west-2 ).

Chatbots 115

Chatbots Interactive Voice Response APIs Telecommunications 115

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 134

APIs Enterprise Best practices Accountability 134

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 111

APIs Chatbots Enterprise Healthcare 111

AWS Machine Learning

APRIL 10, 2025

You can get started without any prior machine learning (ML) experience, and Amazon Personalize allows you to use APIs to build sophisticated personalization capabilities. After the model is trained, you can get the top recommended movies for each user by querying the recommender with each user ID through the Amazon Personalize Runtime API.

Personalization 106

Personalization APIs Advertising Accountability 106

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 128

Engineering APIs Accountability Metrics 128

AWS Machine Learning

AUGUST 2, 2024

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, introduces refactored graph ML pipeline APIs. Specifically, GraphStorm 0.3 In addition, GraphStorm 0.3

APIs 120

APIs Benchmark Construction Enterprise 120

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 89

APIs Enterprise Accountability Management 89

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 119

Management APIs Engineering Metrics 119

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 106

APIs Chatbots Construction Engineering 106

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 113

APIs Government Best practices Metrics 113

AWS Machine Learning

DECEMBER 2, 2024

You can retrieve the number of copies of an inference component at any time by making the DescribeInferenceComponent API call and checking the CurrentCopyCount. ApplicationAutoScaling may be in-progress (if configured) or try to increase the capacity by invoking UpdateInferenceComponentRuntimeConfig API. import json scheduler = boto3.client('scheduler')

APIs 110

APIs Best practices Metrics Engineering 110

AWS Machine Learning

JUNE 19, 2023

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. For instance, administrators may want to set up IAM permissions for a Studio SSO user based on their Active Directory (AD) group membership.

APIs 101

APIs Accountability Construction Enterprise 101

AWS Machine Learning

APRIL 24, 2025

Send the text, images, and metadata to Amazon Bedrock using its API to generate embeddings using the Amazon Titan Multimodal Embeddings G1 model. The Amazon Bedrock API replies with embeddings to the Jupyter notebook. Complete the following steps: Register a model group. The response will contain the connector ID.

Engineering 109

Engineering APIs Enterprise Accountability 109

AWS Machine Learning

APRIL 23, 2025

For more information, see Redacting PII entities with asynchronous jobs (API). The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header. The user query is sent using an API call along with the authentication token through Amazon API Gateway.

APIs 79

APIs Healthcare Enterprise Accountability 79

AWS Machine Learning

DECEMBER 9, 2024

Both the data processing job and model training job use @remote decorator so that the jobs are running in the SageMaker-associated private subnets and security group from your private VPC. We define the SageMaker-associated private subnets and security group in the configuration file. config_yaml = f""" SchemaVersion: '1.0'

Metrics 106

Metrics APIs Engineering Accountability 106

AWS Machine Learning

JANUARY 24, 2025

This VPC endpoint security group only allows traffic originating from the security group attached to your VPC private subnets, adding a layer of protection. Complete the following steps to create the security group: On the Amazon VPC console, choose Security groups in the navigation pane. Choose Create security group.

Best practices 115

Best practices Accountability industry standards Metrics 115

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 99

APIs Healthcare Consulting Consulting 99

AWS Machine Learning

DECEMBER 3, 2024

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

Sales 110

Sales APIs Engineering Analytics 110

AWS Machine Learning

APRIL 24, 2025

WHERE m.medal_name = 'Gold' GROUP BY a.id;" }```. The end-user sends their natural language queries to the NL2SQL solution using a REST API. Amazon API Gateway is used to provision the REST API, which can be secured by Amazon Cognito. The final result is obtained by running the preceding pipeline on Lambda.

Enterprise 112

Enterprise Construction Scripts APIs 112

AWS Machine Learning

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. The workflow steps are as follows: The user authenticates with the Amazon Cognito user pool and receives a token to consume the Studio access API. The user calls the API to access Studio and includes the token in the request.

APIs 98

APIs Accountability Scripts Enterprise 98

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 135

APIs Enterprise Accountability Management 135

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 142

APIs Big data Accountability Enterprise 142

AWS Machine Learning

FEBRUARY 25, 2025

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.

APIs 68

APIs Accountability Engineering Construction 68

AWS Machine Learning

APRIL 10, 2025

Fine-tune an Amazon Nova model using the Amazon Bedrock API In this section, we provide detailed walkthroughs on fine-tuning and hosting customized Amazon Nova models using Amazon Bedrock. We first provided a detailed walkthrough on how to fine-tune, host, and conduct inference with customized Amazon Nova through the Amazon Bedrock API.

APIs 127

APIs Metrics Best practices Construction 127

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 113

Education Engineering APIs Enterprise 113

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 141

APIs Scripts Enterprise Management 141

Lumoa

FEBRUARY 27, 2025

Check it out below: These changes should affect the following processes: Inviting users Creating a Collection Creating a Dashboard Creating a Card (from a Dashboard) Uploading Excel data (from the Jobs page) Creating a Group Creating a Dashboard Group These changes will soon be reflected in our knowledge base, around when the change goes live.

APIs 78

APIs Surveys Feedback Engineering 78

AWS Machine Learning

NOVEMBER 19, 2024

Builders’ sessions – These highly interactive 60-minute mini-workshops are conducted in small groups of fewer than 10 attendees. Reserve your seat now AIM405: Learn to securely invoke Amazon Q Business Chat API December Wednesday 4 | 2:30 PM – 3:30 PM Join this code talk to learn how to use the Amazon Q Business identity-aware ChatSync API.

APIs 110

APIs Enterprise Best practices Government 110

AWS Machine Learning

MARCH 3, 2025

They enable applications requiring very low latency or local data processing using familiar APIs and tool sets. Create a security group or select an existing one. Configure the security groups inbound rules to allow traffic only from your clients IP address on port 8080. Delete the security groups and subnets.

APIs 87

APIs Benchmark Metrics Healthcare 87

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 132

Chatbots APIs Engineering Automotive 132

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 121

APIs Enterprise Accountability Management 121

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 127

Customer Support APIs Management Enterprise 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. This step can be used to define the date periods to be used by the Map state as an input.

Enterprise 109

Enterprise Engineering APIs Best practices 109