AWS Machine Learning

OCTOBER 29, 2024

Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. For integration between services, we use API Gateway as an event trigger for our Lambda function, and DynamoDB as a highly scalable database to store our customer details.

Engineering 110

Engineering APIs Sales Enterprise 110

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 132

APIs Enterprise Best practices Accountability 132

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.

APIs 89

APIs Scripts Enterprise Management 89

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 128

APIs Transportation Best practices 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 130

APIs Scripts Accountability Entertainment 130

CSM Magazine

JANUARY 3, 2025

AI-driven tools improve efficiency, accuracy, and scalability, enabling companies to handle multilingual interactions seamlessly. This article delves into the top 10 AI tools that are essential for enhancing multilingual customer support in 2025, providing insights into their functionalities, benefits, and implementation strategies.

Customer Support 52

Customer Support Chatbots CRM SaaS 52

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 110

APIs Government Best practices Metrics 110

AWS Machine Learning

DECEMBER 18, 2024

This involves creating an OAuth API endpoint in ServiceNow and using the web experience URL from Amazon Q Business as the callback URL. The final step of the solution involves enhancing the application environment with a custom plugin for ServiceNow using APIs defined in an OpenAPI schema.

APIs 87

APIs Enterprise Accountability Government 87

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 116

Construction APIs Metrics Accountability 116

AWS Machine Learning

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. So what does it mean for an LLM to pick tools and plan tasks?

APIs 128

APIs Chatbots Engineering Management 128

AWS Machine Learning

NOVEMBER 14, 2024

The user’s request is sent to AWS API Gateway , which triggers a Lambda function to interact with Amazon Bedrock using Anthropic’s Claude Instant V1 FM to process the user’s request and generate a natural language response of the place location. It will then return the place name with the highest similarity score.

APIs 110

APIs Engineering Personalization Transportation 110

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

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 105

Management APIs Engineering Metrics 105

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. Global Resiliency APIs Global Resiliency provides API support to create and manage replicas. To better understand the solution, refer to the following architecture diagram.

Chatbots 107

Chatbots Interactive Voice Response APIs Telecommunications 107

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 90

APIs Technology Management Enterprise 90

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 111

APIs Call Center Engineering Personalization 111

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 86

APIs Engineering Accountability Metrics 86

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 70

APIs Engineering Metrics Big data 70

AWS Machine Learning

NOVEMBER 29, 2023

With this launch, you can programmatically run notebooks as jobs using APIs provided by Amazon SageMaker Pipelines , the ML workflow orchestration feature of Amazon SageMaker. Furthermore, you can create a multi-step ML workflow with multiple dependent notebooks using these APIs.

APIs 110

APIs Management Engineering Big data 110

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 96

Metrics APIs Engineering Accountability 96

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 78

Entertainment APIs Technology Feedback 78

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 111

Best practices Feedback Metrics APIs 111

AWS Machine Learning

DECEMBER 11, 2024

This includes how we configured data sources that comprise our knowledge base, indexing documents and relevancy tuning , security (authentication, authorization, and guardrails ), and Amazon Qs APIs for conversation management and custom plugins. Jonathan Garcia is a Sr.

Sales 102

Sales Accountability APIs CRM 102

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 124

APIs Engineering Management Scripts 124

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 86

Metrics Enterprise APIs Engineering 86

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.

APIs 118

APIs Engineering Chatbots Construction 118

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 120

Engineering APIs Analytics Enterprise 120

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 75

APIs Management Benchmark Scripts 75

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 87

APIs Best practices Management Personalization 87

AWS Machine Learning

FEBRUARY 10, 2025

This is achieved through modular components including reasoning, memory, cognitive skills, and tools, which enable them to perform intricate tasks and adapt to changing scenarios. You can deploy or fine-tune models through an intuitive UI or APIs, providing flexibility for all skill levels.

Enterprise 105

Enterprise Engineering APIs Chatbots 105

AWS Machine Learning

FEBRUARY 24, 2025

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. You can find detailed usage instructions, including sample API calls and code snippets for integration. To begin using Mistral-Small-24B-Instruct-2501, choose Deploy.

APIs 84

APIs Enterprise Benchmark Feedback 84

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 97

Best practices Enterprise Engineering Strategic Value 97

Outsource Consultants

MARCH 14, 2025

AI in Healthcare CX: Smarter, Faster, and More Compliant Healthcare organizations have embraced AI tools like virtual assistants, chatbots, and real-time agent support to dramatically reduce wait times, improve accuracy, and deliver personalized patient interactionsall without sacrificing compliance. .

Healthcare 67

Healthcare Customer Support Virtual Agent outsourcing 67

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 138

Personalization APIs Management Accountability 138

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 94

Metrics Engineering APIs Benchmark 94

AWS Machine Learning

SEPTEMBER 18, 2024

Amazon Bedrock enables access to powerful generative AI models like Stable Diffusion through a user-friendly API. In the media and entertainment sector, filmmakers, artists, and content creators can use this as a tool for developing creative assets and ideating with images. This API will be used to invoke the Lambda function.

APIs 129

APIs Entertainment Best practices Advertising 129

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 141

APIs Big data Accountability Enterprise 141