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 128

APIs Engineering CRM Enterprise 128

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 126

APIs Scripts Accountability Entertainment 126

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 108

APIs Government Best practices Metrics 108

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 129

APIs Enterprise Best practices Accountability 129

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 124

APIs Transportation Best practices Enterprise 124

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 113

Construction APIs Metrics Accountability 113

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 79

APIs Enterprise Accountability Government 79

AWS Machine Learning

APRIL 11, 2023

One important aspect of this foundation is to organize their AWS environment following a multi-account strategy. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs. In this post, we show how you can extend that architecture to multiple accounts to support multiple LOBs.

APIs 83

APIs Accountability Scripts Enterprise 83

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 95

Sales Accountability APIs CRM 95

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 101

Chatbots Interactive Voice Response APIs Telecommunications 101

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 107

Best practices Feedback Metrics APIs 107

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 83

APIs Engineering Accountability Metrics 83

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 89

Metrics APIs Engineering Accountability 89

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 104

APIs Chatbots Construction Engineering 104

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 99

Management APIs Engineering Metrics 99

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 108

APIs Call Center Engineering Personalization 108

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 126

Accountability Government Engineering Scripts 126

AWS Machine Learning

AUGUST 29, 2022

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls.

Accountability 95

Accountability APIs Management Engineering 95

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 94

Metrics Enterprise APIs Engineering 94

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 114

Engineering APIs Analytics Enterprise 114

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 82

APIs Technology Management Enterprise 82

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 77

Entertainment APIs Technology Feedback 77

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 103

Best practices Enterprise Engineering Strategic Value 103

AWS Machine Learning

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure.

APIs 140

APIs Big data Accountability Enterprise 140

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 90

Metrics Engineering APIs Benchmark 90

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 76

APIs Management Benchmark Scripts 76

AWS Machine Learning

NOVEMBER 15, 2024

Each category necessitates specialized generative AI-powered tools to generate insights. An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. The dataframes may contain nans, so make sure you account for those in your code. -

APIs 116

APIs Engineering Chatbots Construction 116

Nexmo

NOVEMBER 10, 2020

Luckily for us, Vonage has a fantastic API for tracking phone calls ! We’ll use the Vonage API and build a.NET Core application that stores and displays this information by using event sourcing. Vonage API Account. To complete this tutorial, you will need a Vonage API account. Prerequisites. Using ngrok.

APIs 139

APIs Accountability 139

CCNG

JUNE 7, 2023

A recent search about how Chat GPT can and will assist in customer service, contact center and customer experience shows many ways ChatGPT can be a potentially valuable tool including: Answering Frequently Asked Questions (FAQs) : Chat GPT can handle repetitive and commonly asked questions by providing instant and accurate responses.

Contact Center 195

Contact Center CCNG APIs Scripts 195

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 91

Education Engineering APIs Enterprise 91

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 88

Enterprise Engineering APIs Best practices 88

AWS Machine Learning

DECEMBER 14, 2023

It provides access to the most comprehensive set of tools for each step of ML development, from preparing data to building, training, deploying, and managing ML models. After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space.

APIs 121

APIs Engineering Management Scripts 121

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 89

APIs Feedback Telecommunications Management 89

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 81

APIs Enterprise Benchmark Feedback 81

AWS Machine Learning

JULY 3, 2024

Amazon Bedrock is a fully managed service that makes foundation models (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’s best suited for your use case. The deployment will output the API Gateway endpoint URL and an API key.

Personalization 134

Personalization APIs Management Accountability 134

AWS Machine Learning

MAY 15, 2024

The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). API Gateway communicates with the TakeExamFn Lambda function as a proxy. The JSON file is returned to API Gateway.

Education 133

Education APIs Engineering Banking 133

AWS Machine Learning

FEBRUARY 25, 2025

These delays can lead to missed security errors or compliance violations, especially in complex, multi-account environments. Amazon Bedrock Agents is a fully managed service that helps developers create AI agents that can break down complex tasks into steps and execute them using FMs and APIs to accomplish specific business objectives.

APIs 64

APIs Accountability Engineering Construction 64