AWS Machine Learning

NOVEMBER 19, 2024

Prerequisites Before you start, make sure you have the following prerequisites in place: Create an AWS account , or sign in to your existing account. Based on the API response, you can determine the guardrail’s action. Additionally, each row of the API response is saved so the user can explore the response as needed.

APIs 116

APIs Government Banking Engineering 116

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. The summary is stored inside an S3 bucket, which can be emptied using the extension’s Clean Up feature.

APIs 131

APIs Scripts Accountability Entertainment 131

AWS Machine Learning

NOVEMBER 15, 2024

In this post, we introduce the core dimensions of responsible AI and explore considerations and strategies on how to address these dimensions for Amazon Bedrock applications. When using the RetrieveAndGenerate API, the output includes the generated response, the source attribution, and the retrieved text chunks.

APIs 110

APIs Government Best practices Metrics 110

AWS Machine Learning

APRIL 10, 2025

For instance, as a marketing manager for a video-on-demand company, you might want to send personalized email messages tailored to each individual usertaking into account their demographic information, such as gender and age, and their viewing preferences. Amazon Bedrock users must request access to models before they are available for use.

Personalization 103

Personalization APIs Advertising Accountability 103

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs 129

APIs Banking Best practices Engineering 129

AWS Machine Learning

JANUARY 24, 2025

In this post, we show you an example of a generative AI assistant application and demonstrate how to assess its security posture using the OWASP Top 10 for Large Language Model Applications , as well as how to apply mitigations for common threats. These steps might involve both the use of an LLM and external data sources and APIs.

APIs 115

APIs Scripts Best practices Management 115

AWS Machine Learning

DECEMBER 4, 2024

Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account. This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

APIs 106

APIs Sales Surveys Analytics 106

AWS Machine Learning

DECEMBER 18, 2024

In this post, well demonstrate how to configure an Amazon Q Business application and add a custom plugin that gives users the ability to use a natural language interface provided by Amazon Q Business to query real-time data and take actions in ServiceNow. AWS Have an AWS account with administrative access. Choose Next.

APIs 97

APIs Enterprise Accountability Government 97

AWS Machine Learning

OCTOBER 30, 2024

Additionally, we discuss how to handle integrations with AWS Lambda and Amazon CloudWatch after enabling Global Resiliency. Enabling Global Resiliency for an Amazon Lex bot is straightforward using the AWS Management Console , AWS Command Line Interface (AWS CLI), or APIs. These are supported in the AWS CLI and AWS SDKs.

Chatbots 112

Chatbots Interactive Voice Response APIs Telecommunications 112

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 131

APIs Enterprise Best practices Accountability 131

AWS Machine Learning

APRIL 23, 2025

Lets dive in to understand how to implement the data redaction at storage level and role-based access architecture patterns effectively. For more information, see Redacting PII entities with asynchronous jobs (API). The user query is sent using an API call along with the authentication token through Amazon API Gateway.

APIs 95

APIs Healthcare Enterprise Accountability 95

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 130

APIs Transportation Best practices Enterprise 130

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 117

APIs Benchmark Construction Enterprise 117

AWS Machine Learning

MARCH 25, 2025

Finally, we explore how to set up rolling updates in different scenarios. For more information about the SageMaker AI API, refer to the SageMaker AI API Reference. Customer experience Lets explore how rolling updates work in practice with several common scenarios, using different-sized LLMs.

APIs 109

APIs Engineering Accountability Metrics 109

AWS Machine Learning

JANUARY 28, 2025

In this post, we show how to use FMEval and Amazon SageMaker to programmatically evaluate LLMs. It functions as a standalone HTTP server that provides various REST API endpoints for monitoring, recording, and visualizing experiment runs. This allows you to keep track of your ML experiments.

Management 114

Management APIs Engineering Metrics 114

AWS Machine Learning

APRIL 10, 2025

In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. 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.

APIs 123

APIs Metrics Best practices Construction 123

AWS Machine Learning

MARCH 26, 2025

In the following sections, we provide guidance on how to use these new private model hub features using the Amazon SageMaker SDK and Amazon SageMaker Studio console. To learn more about how to manage models using private hubs, see Manage Amazon SageMaker JumpStart foundation model access with private hubs.

APIs 107

APIs Enterprise Government Accountability 107

AWS Machine Learning

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management.

APIs 122

APIs Chatbots Enterprise Customer centricity 122

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. Note that MLflow tracking starts from the mlflow.start_run() API. You can now open the private-mlflow.ipynb notebook.

Metrics 104

Metrics APIs Engineering Accountability 104

AWS Machine Learning

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Weve seen our sales teams use this capability to do things like consolidate meeting notes from multiple team members, analyze business reports, and develop account strategies.

Sales 108

Sales Accountability APIs CRM 108

AWS Machine Learning

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. secrets_manager_client = boto3.client('secretsmanager')

Enterprise 104

Enterprise Engineering APIs Accountability 104

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 105

APIs Chatbots Construction Engineering 105

AWS Machine Learning

NOVEMBER 21, 2024

Take, for instance, text-to-video generation, where models need to learn not just what to generate but how to maintain consistency and natural flow across time. This granular input helps models learn how to produce speech that sounds natural, with appropriate pacing and emotional consistency. We demonstrate how to use Wavesurfer.js

APIs 102

APIs Feedback Telecommunications Management 102

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 102

Enterprise Engineering APIs Best practices 102

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 92

APIs Healthcare Consulting Consulting 92

AWS Machine Learning

FEBRUARY 21, 2025

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

Engineering 123

Engineering APIs Analytics Enterprise 123

AWS Machine Learning

MARCH 19, 2025

The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value. As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The results speak for themselvestheir inference stack achieves up to 3.1

Healthcare 144

Healthcare Enterprise APIs Transportation 144

AWS Machine Learning

NOVEMBER 21, 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 110

APIs Call Center Engineering Personalization 110

AWS Machine Learning

OCTOBER 29, 2024

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

Best practices 112

Best practices Feedback Metrics APIs 112

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. Provide your account, bucket name, and VPC settings. Choose Create policy.

Best practices 112

Best practices Accountability industry standards Metrics 112

AWS Machine Learning

NOVEMBER 22, 2024

Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications. Although a single API call can address simple use cases, more complex ones may necessitate the use of multiple calls and integrations with other services.

APIs 99

APIs Technology Management Enterprise 99

AWS Machine Learning

MARCH 6, 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 via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

Metrics 117

Metrics Enterprise APIs Engineering 117

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

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

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

AWS Machine Learning

NOVEMBER 20, 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.

Construction 117

Construction APIs Metrics Accountability 117

AWS Machine Learning

JULY 2, 2024

In this post, we provide an operational overview of the solution, and then describe how to set it up with the following services: Amazon Bedrock and a knowledge base to generate responses from user questions based on enterprise data sources. The request is sent by the web application to the API. installed Node.js

APIs 142

APIs Scripts Enterprise Engineering 142