AWS Machine Learning

OCTOBER 29, 2024

Furthermore, these notes are usually personal and not stored in a central location, which is a lost opportunity for businesses to learn what does and doesn’t work, as well as how to improve their sales, purchasing, and communication processes. It also supports audio files so you have flexibility around the type of call recordings you use.

Engineering 109

Engineering APIs Sales Enterprise 109

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 109

APIs Government Best practices Metrics 109

AWS Machine Learning

AUGUST 2, 2024

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. For more details about how to run graph multi-task learning with GraphStorm, refer to Multi-task Learning in GraphStorm in our documentation. introduces refactored graph ML pipeline APIs.

APIs 115

APIs Benchmark Construction Enterprise 115

AWS Machine Learning

MARCH 6, 2025

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API. Its used by the weather_agent() function.

APIs 87

APIs Scripts Enterprise Management 87

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 129

APIs Scripts Accountability Entertainment 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 127

APIs Transportation Best practices Enterprise 127

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 106

Chatbots Interactive Voice Response APIs Telecommunications 106

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

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. The other fields are automatically generated by the ServiceNow OAuth server.

APIs 86

APIs Enterprise Accountability Government 86

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 104

Management APIs Engineering Metrics 104

AWS Machine Learning

APRIL 9, 2024

In this post, we discuss two new features of Knowledge Bases for Amazon Bedrock specific to the RetrieveAndGenerate API: configuring the maximum number of results and creating custom prompts with a knowledge base prompt template. You can now choose these as query options alongside the search type. The citations are also listed for reference.

APIs 134

APIs Engineering Healthcare Education 134

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 85

APIs Healthcare Consulting Consulting 85

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 114

Engineering Management APIs Healthcare 114

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

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 85

APIs Engineering Accountability Metrics 85

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 89

APIs Technology Management Enterprise 89

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 95

APIs Feedback Telecommunications Management 95

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. To add fine-grained control to how tools are used, we have released a feature for tool choice for Amazon Nova models. Based on the users query, Amazon Nova will select the appropriate tool and tell you how to use it.

APIs 71

APIs Engineering Chatbots Best practices 71

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. In this post, we explore how to use Amazon Bedrock to generate synthetic training data to fine-tune an LLM.

APIs 74

APIs Management Benchmark Scripts 74

AWS Machine Learning

NOVEMBER 15, 2024

We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to mitigating and detecting hallucinations. We first introduce routers, and how they can help managing diverse data sources. This post focuses on doing RAG on heterogeneous data formats.

APIs 117

APIs Engineering Chatbots Construction 117

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

Calabrio

MARCH 4, 2025

Workforce Management 2025 Guide to the Omnichannel Contact Center: How to Drive Success with the Right Software, Strategy, and Solutions Share Calling, email, texting, instant messaging, social mediathe communication channels available to us today can seem almost endless. What Are the Benefits of Having an Omnichannel Contact Center?

Contact Center 52

Contact Center Contact center software Multichannel APIs 52

AWS Machine Learning

MARCH 4, 2025

invoke(inputs["query"])) ) return retrieval_chain Option 2: Access the underlying Boto3 API The Boto3 API is able to directly retrieve with a dynamic retrieval_config. For Amazon Bedrock: Use IAM roles and policies to control access to Bedrock resources and APIs.

APIs 85

APIs Best practices Management Personalization 85

AWS Machine Learning

FEBRUARY 28, 2025

This post explains how to integrate Smartsheet with Amazon Q Business to use natural language and generative AI capabilities for enhanced insights. You can integrate Smartsheet to Amazon Q Business through the AWS Management Console , AWS Command Line Interface (AWS CLI), or the CreateDataSource API. A Smartsheet access token.

APIs 66

APIs Enterprise Accountability Management 66

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 119

Engineering APIs Analytics Enterprise 119

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 125

Healthcare Enterprise APIs Transportation 125

AWS Machine Learning

JANUARY 14, 2025

In this post, we show how to extend Amazon Bedrock Agents to hybrid and edge services such as AWS Outposts and AWS Local Zones to build distributed Retrieval Augmented Generation (RAG) applications with on-premises data for improved model outcomes. Through the frontend application, the user prompts the chatbot interface with a question.

APIs 97

APIs Chatbots Enterprise Healthcare 97

AWS Machine Learning

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 69

APIs Engineering Metrics Big data 69

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. This step can be used to define the date periods to be used by the Map state as an input.

Enterprise 91

Enterprise Engineering APIs Best practices 91

AWS Machine Learning

MARCH 3, 2025

In this post, we walk through how to discover, deploy, and use the Pixtral 12B model for a variety of real-world vision use cases. You can find detailed usage instructions, including sample API calls and code snippets for integration. To begin using Pixtral 12B, choose Deploy.

Benchmark 88

Benchmark APIs Enterprise Construction 88

AWS Machine Learning

DECEMBER 9, 2024

ipynb" - "__pycache__" VpcConfig: SecurityGroupIds: - {security_group_id} Subnets: - {private_subnet_id_1} - {private_subnet_id_2} """ Heres how you can setup an MLflow experiment similar to this. Note that MLflow tracking starts from the mlflow.start_run() API. We specify the security group and subnets information in VpcConfig.

Metrics 95

Metrics APIs Engineering Accountability 95

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 92

Enterprise Engineering APIs Accountability 92

AWS Machine Learning

MARCH 27, 2025

We dive deep into this process on how to use XML tags to structure the prompt and guide Amazon Bedrock in generating a balanced label dataset with high accuracy. In the following sections, we explain how to take an incremental and measured approach to improve Anthropics Claude 3.5 Sonnet prediction accuracy through prompt engineering.

Education 91

Education Engineering APIs Enterprise 91

PeopleMetrics

MARCH 7, 2025

We have just about every aspect of VoC surveyswhat types to use, where to deploy them, and how to make them effective. Manual exports, batch uploads, and IT-driven API connections are still the norm. Push for API-driven automation to reduce manual work. Use APIs where possible to eliminate the need for manual CSV uploads.

APIs 62

APIs Surveys CRM Feedback 62

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. An API created with Amazon API Gateway.

APIs 136

APIs Scripts Enterprise Engineering 136

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 84

Metrics Enterprise APIs Engineering 84

AWS Machine Learning

JULY 3, 2024

To solve this problem, this post shows you how to apply AWS services such as Amazon Bedrock , AWS Step Functions , and Amazon Simple Email Service (Amazon SES) to build a fully-automated multilingual calendar artificial intelligence (AI) assistant. Pay attention to how the original message flows through the pipeline and how it changes.

Personalization 137

Personalization APIs Management Accountability 137