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 78

APIs Management Benchmark Scripts 78

AWS Machine Learning

NOVEMBER 13, 2024

The Amazon Bedrock single API access, regardless of the models you choose, gives you the flexibility to use different FMs and upgrade to the latest model versions with minimal code changes. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 115

Engineering Management APIs Healthcare 115

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. Store both the embeddings and metadata in an OpenSearch Service domain.

Engineering 110

Engineering APIs Enterprise Accountability 110

AWS Machine Learning

JUNE 11, 2025

Runtime – When a user poses a question, our system competes the following steps: Query vectorization – With the Amazon Bedrock Knowledge Bases Retrieve API, the user’s question is automatically embedded using the same embedding model used for the chunks during data ingestion. nextToken – For pagination (optional).

Engineering 72

Engineering Metrics APIs Technical Support 72

AWS Machine Learning

JULY 10, 2025

If you’re initiating the connection from the IDE, you already have a user profile in the SageMaker Studio domain you want to connect to, and the spaces are already created using the Studio UI or through APIs. Set up necessary permissions We’ve launched the StartSession API for remote IDE connectivity.

APIs 92

APIs Engineering Government Enterprise 92

AWS Machine Learning

JUNE 9, 2025

Creating this stream source has it challenges, but with the JavaScript Web Audio API , you can connect and combine different audio sources like videos, audio files, or hardware like microphones to obtain transcripts. Application diagram for two microphones We use two audio inputs with the Web Audio API. Bun or Node.js

APIs 78

APIs Feedback Accountability Management 78

AWS Machine Learning

JULY 14, 2025

Additional implementation code is required for production deployments.

Government 69

Government Finance Enterprise APIs 69

AWS Machine Learning

JULY 7, 2025

Amazon Bedrock is a fully managed service that provides access to high-performing foundation models (FMs) from leading AI companies through a single API. Unauthorized access attempts, detection of smoke or fire, or suspicious behavior trigger automatic response actions through API calls. Daytime conditions, clear visibility.

APIs 94

APIs Engineering Chatbots Personalization 94

AWS Machine Learning

JULY 11, 2025

This service offers pre-built capabilities for IDP and information extraction through a unified API, alleviating the need for complex prompt engineering or fine-tuning, and making it an excellent choice for document processing workflows at scale. We use Amazon Cognito for authentication and secure access to the APIs.

APIs 81

APIs Engineering Finance Scripts 81

AWS Machine Learning

JUNE 30, 2022

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs 98

APIs Enterprise Big data Accountability 98

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

SEPTEMBER 23, 2024

To use a specific LLM from Amazon Bedrock, SageMaker Canvas uses the model ID of the chosen LLM as part of the API calls. Limit access to all Amazon Bedrock models To restrict access to all Amazon Bedrock models, you can modify the SageMaker role to explicitly deny these APIs. This way, users can only invoke the allowed models.

Government 121

Government Enterprise APIs Accountability 121

AWS Machine Learning

NOVEMBER 27, 2022

Let’s say you have a webpage in HTML format that contains a table with inflation rates and annual changes in the US from 2012–2021, as shown in the following screenshot. For example, let’s search for “Inflation rate from 2012 and 2014.” Amazon Kendra displays the rows and columns between 2012–2014 in the preview. Conclusion.

APIs 108

APIs Enterprise Technology 108

AWS Machine Learning

AUGUST 27, 2024

Moreover, this capability prioritizes the connected Amazon Bedrock API source/primary region when possible, helping to minimize latency and improve responsiveness. Compatibility with existing Amazon Bedrock API No additional routing or data transfer cost and you pay the same price per token for models as in your source/primary region.

APIs 140

APIs Engineering Best practices Management 140

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 98

APIs Government Accountability Scripts 98

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs 103

APIs Benchmark Best practices Engineering 103

AWS Machine Learning

SEPTEMBER 27, 2024

The workflow consists of the following steps: The user uploads an architecture image (JPEG or PNG) on the Streamlit application, invoking the Amazon Bedrock API to generate a step-by-step explanation of the architecture using the Anthropic’s Claude 3 Sonnet model. The following diagram illustrates the step-by-step process.

Best practices 123

Best practices Engineering APIs Customer centricity 123

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. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language. We do so using AWS SDK for Python (Boto3) CreateProcessingJob API calls.

Scripts 144

Scripts APIs Engineering Construction 144

AWS Machine Learning

APRIL 5, 2023

Amazon Rekognition makes it easy to add this capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 101

APIs Entertainment Personalization Accountability 101

AWS Machine Learning

SEPTEMBER 3, 2024

By using the Livy REST APIs , SageMaker Studio users can also extend their interactive analytics workflows beyond just notebook-based scenarios, enabling a more comprehensive and streamlined data science experience within the Amazon SageMaker ecosystem. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*" elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

Big data 117

Big data Engineering Accountability Real estate 117

AWS Machine Learning

OCTOBER 1, 2024

You only consume the services through their API. To understand better how Amazon Cognito allows external applications to invoke AWS services, refer to refer to Secure API Access with Amazon Cognito Federated Identities, Amazon Cognito User Pools, and Amazon API Gateway. We discuss this later in the post.

Chatbots 92

Chatbots APIs Scripts Management 92

AWS Machine Learning

APRIL 16, 2024

IAM role that is used by the bot at runtime BotRuntimeRole: Type: AWS::IAM::Role Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: Allow Principal: Service: - lexv2.amazonaws.com For more information, refer to Enabling custom logic with AWS Lambda functions.

Management 121

Management Construction APIs Chatbots 121

AWS Machine Learning

SEPTEMBER 19, 2023

cuDF is used for loading, joining, aggregating, filtering, and otherwise manipulating data, in a pandas -like API that accelerates the work on dataframes, using CUDA for significantly faster performance than pandas. Complete the following steps: Sign in to the AWS Management Console and open the IAM console.

APIs 142

APIs Accountability Engineering Technology 142

AWS Machine Learning

JULY 10, 2024

Run the fine-tuning job using the Amazon Bedrock API Make sure to request access to the preview of Anthropic Claude 3 Haiku fine-tuning in Amazon Bedrock, as discussed in the prerequisites. Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account.

APIs 131

APIs Airlines Metrics Engineering 131

AWS Machine Learning

JULY 29, 2022

Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. Each application is configured with the Amazon API Gateway endpoint URL as its SAML backend. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management 101

Management APIs Accountability Construction 101

AWS Machine Learning

JULY 17, 2023

Update your SageMaker Studio domain to turn on SourceIdentity to propagate the user profile name SageMaker Studio is integrated with AWS CloudTrail to enable administrators to monitor and audit user activity and API calls from SageMaker Studio notebooks. On the Select trusted entity page, select Custom trust policy.

Accountability 97

Accountability APIs Best practices Management 97

AWS Machine Learning

JUNE 19, 2023

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs 101

APIs Accountability Construction Enterprise 101

AWS Machine Learning

AUGUST 4, 2023

When a version of the model in the Amazon SageMaker Model Registry is approved, the endpoint is exposed as an API with Amazon API Gateway using a custom Salesforce JSON Web Token (JWT) authorizer. frameworks to restrict client access to your APIs. For API Name , leave as default (it’s automatically populated).

APIs 98

APIs Scripts Management Accountability 98

AWS Machine Learning

DECEMBER 1, 2022

However, if you want to update existing resources to facilitate resource isolation, administrations can use the add-tag SageMaker API call in a script. Since the launch of the multi-domain capability, new resources are automatically tagged with aws:ResourceTag/sagemaker:domain-arn. experiments=`aws --region $REGION.

APIs 97

APIs Engineering Scripts Accountability 97

AWS Machine Learning

JULY 2, 2024

Alternatively, you can create a knowledge base using the AWS SDK, API, or AWS CloudFormation template, which provides programmatic and automated ways to set up and manage your knowledge bases. The following code snippet demonstrates how to call the retrieve_and_generate API using the Boto3 library in Python.

Healthcare 132

Healthcare APIs Government Accountability 132

AWS Machine Learning

JULY 9, 2025

To use a specific model from Amazon Bedrock, SageMaker Unified Studio uses the model ID of the chosen model as part of the API calls. By customizing the policies attached to these roles, you can control which actions are permitted or denied, thereby governing access to generative AI capabilities. jamba-instruct-v1:0 Jamba 1.5 Large: ai21.jamba-1-5-large-v1:0

Government 85

Government Accountability Enterprise Healthcare 85

AWS Machine Learning

OCTOBER 10, 2024

The example IAM policy code snippet that follows demonstrates how to set up an explicit deny. { "Version": "2012-10-17", "Statement": [ { "Effect": "Deny", "Action": [ "qbusiness:DisableAclOnDataSource" ], "Resource": ["*"] } ] } Note that even if the option to disable ACL crawling is denied, the user interface might not gray out this option.

APIs 125

APIs Accountability Best practices Enterprise 125

Avaya

NOVEMBER 16, 2016

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

APIs 72

APIs Transportation Enterprise Big data 72

AWS Machine Learning

JANUARY 25, 2024

For Who can use this application or access this API? Choose Select API permissions in the navigation pane. Gary started at Amazon in 2012 as an intern, focusing on building scalable, real-time outlier detection systems. choose Accounts in this organizational directory only (AWS only – Single tenant). Choose Register.

Accountability 138

Accountability APIs Management Engineering 138

AWS Machine Learning

NOVEMBER 16, 2022

The following code illustrates this policy, but don’t add it to the shared services account yet: #Data Science account's policy to access Shared Services' S3 bucket { 'Version': '2012-10-17', 'Statement': [{ 'Sid': 'AddPerm', 'Effect': 'Allow', 'Principal': { 'AWS': 'arn:aws:iam:: :root' }, "Action": [. 's3:PutObject',

Accountability 98

Accountability Best practices Scripts Engineering 98

AWS Machine Learning

MAY 5, 2023

Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced. To ensure scalability, we use a Lambda function, which will be exposed through an API endpoint created using Amazon API Gateway.

Engineering 104

Engineering APIs Scripts Enterprise 104

AWS Machine Learning

JANUARY 9, 2023

Amazon Kendra Intelligent Ranking application programming interface (API) – The functions from this API are used to perform tasks related to provisioning execution plans and semantic re-ranking of your search results. Explore the Amazon Kendra ranking rescore API. Create and start OpenSearch using the Quickstart script.

Scripts 106

Scripts APIs Engineering Transportation 106