AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs. To get started, set-up a name for your experiment.

Government 106

Government Management APIs Accountability 106

AWS Machine Learning

APRIL 24, 2025

Additionally, if temporary tables or views are used for the data domain, a SQL script is required that, when executed, creates the desired temporary data structures needs to be defined. Depending on the use case, this can be a static or dynamically generated script. A domain-specific user prompt.

Enterprise 110

Enterprise Construction Scripts APIs 110

AWS Machine Learning

MARCH 13, 2025

Amazon Bedrock Custom Model Import simplifies deployments of custom models by offering a straightforward API for model deployment and invocation. LLMPerf simulates load tests on model invocation APIs by creating concurrent Ray Clients and analyzing their responses. A key advantage of LLMPerf is wide support of foundation model APIs.

Benchmark 117

Benchmark APIs Scripts Engineering 117

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 111

APIs Government Best practices Metrics 111

AWS Machine Learning

NOVEMBER 1, 2024

Dru on the backend decodes log data, deciphers error codes, and invokes API calls to troubleshoot. This approach allowed us to break the problem down into multiple steps: Identify the API route. Generate and invoke private API calls. Having similar names and synonyms in API routes make this retrieval problem more complex.

APIs 109

APIs Scripts Engineering Government 109

AWS Machine Learning

APRIL 18, 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 with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 129

Scripts Best practices Engineering Accountability 129

AWS Machine Learning

OCTOBER 16, 2024

The goal was to refine customer service scripts, provide coaching opportunities for agents, and improve call handling processes. Frontend and API The CQ application offers a robust search interface specially crafted for call quality agents, equipping them with powerful auditing capabilities for call analysis.

Customer Service 89

Customer Service Scripts Coaching Finance 89

AWS Machine Learning

OCTOBER 18, 2024

Call the SageMaker control plane API using the SageMaker Python SDK for model training. Create an AWS Identity and Access Management (IAM) user with the AmazonSageMakerFullAccess policy to enable you to run SageMaker APIs. We’ve prepared a script called train_yolov8.py environment. An AWS account.

Scripts 101

Scripts APIs Engineering Marketing 101

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 97

APIs Scripts Metrics Surveys 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. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 106

APIs Chatbots Construction Engineering 106

AWS Machine Learning

OCTOBER 24, 2024

Example code The following code example is a Python script that can be used as an AWS Lambda function or as part of your processing pipeline. Here’s a high-level breakdown of how the Python script is executed: Load the YOLOv9 model – This model is used for detecting objects in each frame. cvtColor(frame, cv2.COLOR_RGB2BGR)

Scripts 110

Scripts APIs Analytics Personalization 110

AWS Machine Learning

JUNE 16, 2025

The solution calls a third-party API to fetch a user’s current investment portfolio. The external-bedrock-agent-api code implements a portfolio recommendation system using Amazon Bedrock Agents and Flask. This function transforms user preferences into JSON data and delivers either an API response or error message back to the user.

APIs 103

APIs Scripts Government Best practices 103

AWS Machine Learning

OCTOBER 24, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Create and associate an action group with an API schema and a Lambda function. Examples given later in the post.)

APIs 97

APIs Best practices Construction Engineering 97

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs 98

APIs Accountability Scripts Enterprise 98

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 144

Scripts APIs Engineering Construction 144

AWS Machine Learning

JANUARY 9, 2025

Create a custom plugin that invokes an OpenAPI schema of the Amazon API Gateway This API sends emails to the users. After authentication, the user session is stored in the Amazon Q Business application for subsequent API calls. Post-authentication, the custom plugin will pass the token to API Gateway to invoke the API.

APIs 109

APIs Best practices Accountability Enterprise 109

AWS Machine Learning

NOVEMBER 25, 2024

You can configure Azure AD using either of the following methods: Use the Azure AD console GUI – This is a manual process Use the provided PowerShell script – This is an automated process that takes in the inputs and configures the required permissions We demonstrate both methods in the following sections. Choose Delegated permissions.

Scripts 97

Scripts APIs Accountability Enterprise 97

AWS Machine Learning

MAY 29, 2025

All preceding images in this post have been generated using the text-to-image ( TEXT_IMAGE ) task type of Amazon Nova Canvas, available through the Amazon Bedrock InvokeModel API. For more information, see Run example Amazon Bedrock API requests using an Amazon SageMaker AI notebook. model using Amazon Bedrock.

APIs 109

APIs Best practices Construction Scripts 109

AWS Machine Learning

JULY 2, 2024

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. Amazon API Gateway and AWS Lambda to create an API with an authentication layer and integrate with Amazon Bedrock. An API created with Amazon API Gateway.

APIs 142

APIs Scripts Enterprise Engineering 142

AWS Machine Learning

NOVEMBER 14, 2024

Reactive governance is for finding resources that lack proper tags using tools such as the AWS Resource Groups tagging API, AWS Config rules, and custom scripts. AWS Resource Groups tagging API – The AWS Resource Groups Tagging API lets you tag or untag resources. You should take action when resources lack necessary tags.

Government 109

Government Best practices Accountability APIs 109

AWS Machine Learning

MAY 21, 2025

This is accomplished through the AWS STS AssumeRole API operation , which establishes the necessary cross-account relationship. This asymmetric quota consumption means that the operations account doesnt deplete their AWS STS service quotas when responding to API requests from customer accounts.

Accountability 109

Accountability Government APIs Metrics 109

AWS Machine Learning

JULY 9, 2025

The solution’s flexibility is further enhanced by AWS Lambda for serverless processing, Amazon API Gateway for efficient endpoint management, and Amazon CloudFront for optimized content delivery. We have provided an AWS CloudFormation template, sample datasets, and scripts that you can use to set up the environment for this demonstration.

APIs 101

APIs Analytics Engineering Benchmark 101

AWS Machine Learning

MAY 1, 2025

An agent uses a function call to invoke an external tool (like an API or database) to perform specific actions or retrieve information it doesnt possess internally. These tools are integrated as an API call inside the agent itself, leading to challenges in scaling and tool reuse across an enterprise.

Transportation 124

Transportation APIs Enterprise Scripts 124

AWS Machine Learning

OCTOBER 15, 2024

In this post, we show how the SageMaker Core SDK simplifies the developer experience while providing API for seamlessly executing various steps in a general ML lifecycle. For instance, to create a training job, Boto3 offers a create_training_job API, but retrieving job details requires the describe_training_job API.

APIs 92

APIs Construction Scripts Engineering 92

CCNG

JUNE 7, 2023

Initially Fred helps define how Chat GPT will be useful using API's along with Adam's caution of betting on operational efficiency and accuracy too quickly - “I thought the most fascinating part for me was some members shared they have used ChatGPT for 1 to 1 functions but none has started using it commercially. says Fred.

Contact Center 195

Contact Center CCNG APIs Scripts 195

AWS Machine Learning

JANUARY 8, 2024

The first allows you to run a Python script from any server or instance including a Jupyter notebook; this is the quickest way to get started. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution. The following diagram illustrates the sequence of events within the script.

Scripts 127

Scripts Construction APIs Healthcare 127

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

JUNE 23, 2025

Multimodal RAG agent – For queries related with audio and video information, Amazon Bedrock Data Automation uses a unified API call to extract insights from such multimedia data, and stores the extracted insights in Amazon Bedrock Knowledge Bases. These components are orchestrated in an agentic workflow.

APIs 105

APIs Benchmark Enterprise Healthcare 105

AWS Machine Learning

DECEMBER 5, 2024

Create a SageMaker training plan using the AWS CLI Complete the following steps to create a training plan using the AWS CLI: Start by calling the API, passing your capacity requirements as input parameters, to search for all matching training plan offerings. You can start using your plan once it transitions to the Active state.

APIs 103

APIs Engineering Scripts Wait times 103

AWS Machine Learning

DECEMBER 22, 2023

In particular, we cover the SMP library’s new simplified user experience that builds on open source PyTorch Fully Sharded Data Parallel (FSDP) APIs, expanded tensor parallel functionality that enables training models with hundreds of billions of parameters, and performance optimizations that reduce model training time and cost by up to 20%.

Scripts 121

Scripts APIs Engineering Finance 121

AWS Machine Learning

APRIL 28, 2025

However, as industries require more adaptive, decision-making AI, integrating tools and external APIs has become essential. Expanding LLM capabilities with tool use LLMs excel at natural language tasks but become significantly more powerful with tool integration, such as APIs and computational frameworks.

APIs 112

APIs Benchmark Scripts Metrics 112

AWS Machine Learning

AUGUST 2, 2024

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

Engineering 132

Engineering Scripts Metrics Advertising 132

AWS Machine Learning

JULY 29, 2024

You can also either use the SageMaker Canvas UI, which provides a visual interface for building and deploying models without needing to write any code or have any ML expertise, or use its automated machine learning (AutoML) APIs for programmatic interactions. Python script – Use a Python script to merge the datasets.

APIs 119

APIs Scripts Benchmark Metrics 119

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 77

APIs Management Benchmark Scripts 77

TeleDirect

APRIL 16, 2025

Customizable Scripts and Call Flows No two practices are alike. The right medical call center will offer customizable scripting and call flow options that align with your office procedures, from intake protocols to escalation processes. This ensures your patients feel understood and respected.

Call Center 62

Call Center Healthcare Call flow Scripts 62

AWS Machine Learning

FEBRUARY 25, 2025

We recommend running similar scripts only on your own data sources after consulting with the team who manages them, or be sure to follow the terms of service for the sources that youre trying to fetch data from. A simple architectural representation of the steps involved is shown in the following figure. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 107

Enterprise Engineering APIs Accountability 107

AWS Machine Learning

MAY 14, 2025

You can execute each step in the training pipeline by initiating the process through the SageMaker control plane using APIs, AWS Command Line Interface (AWS CLI), or the SageMaker ModelTrainer SDK. py command-line script provided by DeepSeek. We use script convert.sh to run the execution using the ml.c5.18xlarge instance.

Scripts 75

Scripts Benchmark Engineering Construction 75