AWS Machine Learning

MARCH 19, 2025

By harnessing the latest advancements in generative AI, we empower employees to unlock new levels of efficiency and creativity within the tools they already use every day. Note that these APIs use objects as namespaces, alleviating the need for explicit imports. Sonnet).

APIs 114

APIs Automotive Accountability Analytics 114

AWS Machine Learning

MARCH 14, 2025

This integration brings Anthropics visual perception capabilities as a managed tool within Amazon Bedrock Agents, providing you with a secure, traceable, and managed way to implement computer use automation in your workflows. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API.

APIs 135

APIs Engineering CRM Enterprise 135

AWS Machine Learning

DECEMBER 4, 2024

SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI. To get started, you need to build a project.

APIs 107

APIs Sales Surveys Analytics 107

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. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 133

APIs Scripts Accountability Entertainment 133

AWS Machine Learning

DECEMBER 18, 2024

Prerequisites Before proceeding, make sure that you have the necessary AWS account permissions and services enabled, along with access to a ServiceNow environment with the required privileges for configuration. AWS Have an AWS account with administrative access. For more information, see Setting up for Amazon Q Business. Choose Next.

APIs 98

APIs Enterprise Accountability Government 98

AWS Machine Learning

NOVEMBER 15, 2024

At AWS, we help our customers transform responsible AI from theory into practice—by giving them the tools, guidance, and resources to get started with purpose-built services and features, such as Amazon Bedrock Guardrails. These dimensions make up the foundation for developing and deploying AI applications in a responsible and safe manner.

APIs 112

APIs Government Best practices Metrics 112

AWS Machine Learning

APRIL 10, 2025

Personalized outbound communication can be a powerful tool to increase user engagement and conversion. You can get started without any prior machine learning (ML) experience, and Amazon Personalize allows you to use APIs to build sophisticated personalization capabilities. In this example, we use Anthropics Claude 3.7

Personalization 105

Personalization APIs Advertising Accountability 105

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 133

APIs Enterprise Best practices Accountability 133

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 131

APIs Transportation Best practices Enterprise 131

AWS Machine Learning

DECEMBER 11, 2024

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. Amazon Q Business provides a number of out-of-the-box connectors to popular data sources like relational databases, content management systems, and collaboration tools.

Sales 110

Sales Accountability APIs CRM 110

AWS Machine Learning

NOVEMBER 20, 2024

This approach, which we call intelligent metadata filtering, uses tool use (also known as function calling ) to dynamically extract metadata filters from natural language queries. Function calling allows LLMs to interact with external tools or functions, enhancing their ability to process and respond to complex queries.

Construction 118

Construction APIs Metrics Accountability 118

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. If this option isn’t visible, the Global Resiliency feature may not be enabled for your account. To better understand the solution, refer to the following architecture diagram.

Chatbots 114

Chatbots Interactive Voice Response APIs Telecommunications 114

AWS Machine Learning

MARCH 25, 2025

For more information about the SageMaker AI API, refer to the SageMaker AI API Reference. 8B-Instruct to DeepSeek-R1-Distill-Llama-8B, but the new model version has different API expectations. In this use case, you have configured a CloudWatch alarm to monitor for 4xx errors, which would indicate API compatibility issues.

APIs 111

APIs Engineering Accountability Metrics 111

AWS Machine Learning

DECEMBER 9, 2024

MLflow , a popular open-source tool, helps data scientists organize, track, and analyze ML and generative AI experiments, making it easier to reproduce and compare results. SageMaker is a comprehensive, fully managed ML service designed to provide data scientists and ML engineers with the tools they need to handle the entire ML workflow.

Metrics 105

Metrics APIs Engineering Accountability 105

AWS Machine Learning

JANUARY 28, 2025

Evaluations are also a fundamental tool during application development to validate the quality of prompt templates. 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 117

Management APIs Engineering Metrics 117

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 75

APIs Healthcare Enterprise Accountability 75

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 114

Best practices Feedback Metrics APIs 114

AWS Machine Learning

MARCH 6, 2025

This blog post delves into how these innovative tools synergize to elevate the performance of your AI applications, ensuring they not only meet but exceed the exacting standards of enterprise-level deployments. Lets dive in and discover how these powerful tools can help you build more effective and reliable AI-powered solutions.

Metrics 120

Metrics Enterprise APIs Engineering 120

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 101

APIs Technology Management Enterprise 101

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

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 112

APIs Call Center Engineering Personalization 112

AWS Machine Learning

DECEMBER 3, 2024

Cropwise AI harnesses the power of generative AI using AWS to enhance Syngenta’s seed selection tools and streamline the decision-making process for farmers and sales representatives. The tool also streamlines data navigation, allowing users to efficiently explore and compare Syngenta’s extensive seed catalogue.

Sales 109

Sales APIs Engineering Analytics 109

AWS Machine Learning

FEBRUARY 10, 2025

This strategy equipped us to align each task with the most suitable foundation model (FM) and tools. Its equipped with the appropriate FM for the task and the necessary tools to perform actions and access knowledge. Tools Tools extend agent capabilities beyond the FM.

Chief Customer Officer 111

Chief Customer Officer Banking SaaS Engineering 111

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise. The robust capabilities and unified API of Amazon Bedrock make it an ideal foundation for developing enterprise-grade AI applications.

Enterprise 91

Enterprise APIs Engineering Government 91

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 129

Accountability Government Engineering Scripts 129

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 126

Engineering APIs Analytics Enterprise 126

AWS Machine Learning

MARCH 4, 2025

Integration with the AWS Well-Architected Tool pre-populates workload information and initial assessment responses. Integration with the AWS Well-Architected Tool Creates a Well-Architected workload milestone for the assessment and prepopulates answers for WAFR questions based on generative AI-based assessment.

Best practices 121

Best practices Enterprise Engineering Strategic Value 121

AWS Machine Learning

FEBRUARY 7, 2025

Besides the common AI functionalities like text and image generation, it allows them to interact with internal data, tools, and workflows through natural language queries. The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses.

Entertainment 88

Entertainment APIs Technology Feedback 88

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock , a fully managed service offering high-performing foundation models from leading AI companies through a single API, has recently introduced two significant evaluation capabilities: LLM-as-a-judge under Amazon Bedrock Model Evaluation and RAG evaluation for Amazon Bedrock Knowledge Bases.

Metrics 106

Metrics Engineering Benchmark APIs 106

AWS Machine Learning

MARCH 27, 2025

After achieving the desired accuracy, you can use this ground truth data in an ML pipeline with automated machine learning (AutoML) tools such as AutoGluon to train a model and inference the support cases. Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API.

Education 112

Education Engineering APIs Enterprise 112

AWS Machine Learning

NOVEMBER 19, 2024

Whether you’re just starting your journey or well on your way, leave this talk with the knowledge and tools to unlock the transformative power of AI for customer interactions, the agent experience, and more. Then, explore how Volkswagen used these tools to streamline a job role mapping project, saving thousands of hours.

APIs 109

APIs Enterprise Best practices Government 109

AWS Machine Learning

APRIL 13, 2023

We took all of that feedback from customers, and today we are excited to announce Amazon Bedrock , a new service that makes FMs from AI21 Labs, Anthropic, Stability AI, and Amazon accessible via an API. Alexa is a great example with millions of requests coming in every minute, which accounts for 40% of all compute costs.

APIs 145

APIs Best practices Engineering Entertainment 145

AWS Machine Learning

FEBRUARY 11, 2025

Enhancing AWS Support Engineering efficiency The AWS Support Engineering team faced the daunting task of manually sifting through numerous tools, internal sources, and AWS public documentation to find solutions for customer inquiries. For example, the Datastore API might require certain input like date periods to query data.

Enterprise 106

Enterprise Engineering APIs Best practices 106

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 125

APIs Metrics Best practices Construction 125

AWS Machine Learning

FEBRUARY 24, 2025

Prerequisites To try Mistral-Small-24B-Instruct-2501 in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. At the time of writing this post, you can use the InvokeModel API to invoke the model. It doesnt support Converse APIs or other Amazon Bedrock tooling.

APIs 97

APIs Enterprise Benchmark Feedback 97

AWS Machine Learning

NOVEMBER 21, 2024

Traditional annotation tools, with basic playback and marking capabilities, often fall short in capturing these nuanced details. Through custom human annotation workflows , organizations can equip annotators with tools for high-precision segmentation. On the SageMaker console, choose Labeling workforces.

APIs 103

APIs Feedback Telecommunications Management 103

AWS Machine Learning

OCTOBER 8, 2024

Challenges with traditional onboarding The traditional onboarding process for banks faces challenges in the current digital landscape because many institutions don’t have fully automated account-opening systems. This constraint impacts the flexibility for customers to initiate account opening at their preferred time.

Banking 120

Banking APIs Accountability Engineering 120