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. For our example, we chose Amazons Nova Lite model and set the temperature inference parameter to 0.1

APIs 133

APIs Transportation Best practices Enterprise 133

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 132

APIs Banking Best practices Engineering 132

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 95

APIs Enterprise Accountability Government 95

AWS Machine Learning

NOVEMBER 15, 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 113

APIs Government Best practices Metrics 113

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 93

APIs Scripts Enterprise Management 93

AWS Machine Learning

JANUARY 28, 2025

Using SageMaker with MLflow to track experiments The fully managed MLflow capability on SageMaker is built around three core components: MLflow tracking server This component can be quickly set up through the Amazon SageMaker Studio interface or using the API for more granular configurations.

Management 115

Management APIs Engineering Metrics 115

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 134

APIs Enterprise Best practices Accountability 134

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. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs 120

APIs Benchmark Construction Enterprise 120

AWS Machine Learning

MARCH 11, 2025

The following table provides example questions with their domain and question type. Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. The eight different question types are simple , simple_w_condition , comparison , aggregation , set , false_premise , post-processing , and multi-hop.

Benchmark 104

Benchmark APIs Enterprise Scripts 104

AWS Machine Learning

MARCH 19, 2025

This could be APIs, code functions, or schemas and structures required by your end application. In this post, we discuss tool use and the new tool choice feature, with example use cases. For example, if a user asks What is the weather in Seattle? For example, if a user asks What is the weather in Seattle?

APIs 78

APIs Engineering Chatbots Best practices 78

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 118

APIs Scripts Best practices Management 118

AWS Machine Learning

MARCH 18, 2025

Beyond Amazon Bedrock models, the service offers the flexible ApplyGuardrails API that enables you to assess text using your pre-configured guardrails without invoking FMs, allowing you to implement safety controls across generative AI applicationswhether running on Amazon Bedrock or on other systemsat both input and output levels.

Government 93

Government APIs Enterprise Technology 93

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. Additionally, you can add custom instructions and examples tailored to your specific workflows.

APIs 137

APIs Engineering Healthcare Education 137

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 114

APIs Call Center Engineering Personalization 114

AWS Machine Learning

FEBRUARY 21, 2025

This serves as an example of how generative AI can streamline operations that involve diverse data types and formats. The solution uses the FMs tool use capabilities, accessed through the Amazon Bedrock Converse API. Use case and dataset For our example use case, we examine a patient intake process at a healthcare institution.

APIs 93

APIs Healthcare Consulting Consulting 93

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 107

APIs Chatbots Construction Engineering 107

AWS Machine Learning

MARCH 19, 2025

The organizations that figure this out first will have a significant competitive advantageand were already seeing compelling examples of whats possible. 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.

Healthcare 125

Healthcare Enterprise APIs Transportation 125

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 116

Best practices Feedback Metrics APIs 116

AWS Machine Learning

JANUARY 14, 2025

See the following figure for an example. The following example illustrates the hybrid RAG high-level architecture. The embedding model, which is hosted on the same EC2 instance as the local LLM API inference server, converts the text chunks into vector representations.

APIs 107

APIs Chatbots Enterprise Healthcare 107

AWS Machine Learning

FEBRUARY 21, 2025

Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications. Lets walkthrough an example of how this solution would handle a users question. For example, if the question was What hotels are near re:Invent?

Engineering 126

Engineering APIs Analytics Enterprise 126

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 98

APIs Technology Management Enterprise 98

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. For this example, we create a bot named BookHotel in the source Region ( us-east-1 ). Global Resiliency APIs Global Resiliency provides API support to create and manage replicas.

Chatbots 114

Chatbots Interactive Voice Response APIs Telecommunications 114

AWS Machine Learning

MARCH 3, 2025

Designed for both image and document comprehension, Pixtral demonstrates advanced capabilities in vision-related tasks, including chart and figure interpretation, document question answering, multimodal reasoning, and instruction followingseveral of which are illustrated with examples later in this post. Lets explore an example.

Benchmark 99

Benchmark APIs Enterprise Construction 99

AWS Machine Learning

MARCH 4, 2025

Solution overview The following code is an example metadata filter for Amazon Bedrock Knowledge Bases. We have provided example documents and metadata in the accompanying GitHub repo for you to upload. This example data contains user answers to an online questionnaire about travel preferences.

APIs 95

APIs Best practices Management Personalization 95

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. Here is an example from LangChain.

APIs 113

APIs Engineering Personalization Transportation 113

AWS Machine Learning

NOVEMBER 15, 2024

For example, a technician could query the system about a specific machine part, receiving both textual maintenance history and annotated images showing wear patterns or common failure points, enhancing their ability to diagnose and resolve issues efficiently. We give more details on that aspect later in this post.

APIs 121

APIs Engineering Chatbots Construction 121

AWS Machine Learning

JANUARY 27, 2025

Solution overview To get started with Nova Canvas and Nova Reel, you can either use the Image/Video Playground on the Amazon Bedrock console or access the models through APIs. Example: A blue sports car parked in front of a grand villa. Example: Rendered in a cinematic style with vivid, high-contrast details.

Engineering 110

Engineering Best practices Entertainment APIs 110

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 78

APIs Management Benchmark Scripts 78

AWS Machine Learning

NOVEMBER 13, 2024

For example, searching for a specific red leather handbag with a gold chain using text alone can be cumbersome and imprecise, often yielding results that don’t directly match the user’s intent. Amazon Titan FMs provide customers with a breadth of high-performing image, multimodal, and text model choices, through a fully managed API.

Engineering 118

Engineering Management APIs Healthcare 118

AWS Machine Learning

FEBRUARY 11, 2025

The following diagram illustrates an example architecture for ingesting data through an endpoint interfacing with a large corpus. Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. The fetched data is put into an S3 data store bucket for processing.

Enterprise 102

Enterprise Engineering APIs Best practices 102

AWS Machine Learning

FEBRUARY 7, 2025

The implementation uses Slacks event subscription API to process incoming messages and Slacks Web API to send responses. The following screenshot shows an example. The incoming event from Slack is sent to an endpoint in API Gateway, and Slack expects a response in less than 3 seconds, otherwise the request fails.

Entertainment 85

Entertainment APIs Technology Feedback 85

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 73

APIs Engineering Metrics Big data 73

AWS Machine Learning

NOVEMBER 21, 2024

For example, in speech generation, an unnatural pause might last only a fraction of a second, but its impact on perceived quality is significant. For example, you might want to add speaker information, timestamps, or other contextual data. text(option)); }); // Example: Adding a checkbox for quality issues var qualityCheck = $(' ').attr({

APIs 102

APIs Feedback Telecommunications Management 102

AWS Machine Learning

DECEMBER 11, 2024

The following screenshot shows an example of an interaction with Field Advisor. For example, an account manager can upload a document representing their customers account plan, and use the assistant to help identify new opportunities with the customer.

Sales 110

Sales Accountability APIs CRM 110

AWS Machine Learning

FEBRUARY 28, 2025

The following are examples of questions you can ask Amazon Q Business to gain actionable insights: Project status updates Get quick insights into project health Whats the status of the website redesign project? In this example, were using Smartsheet to track tasks for a software development project. A Smartsheet access token.

APIs 72

APIs Enterprise Accountability Management 72

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. For example, content for inference.

APIs 93

APIs Enterprise Benchmark Feedback 93

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 103

Metrics Engineering APIs Benchmark 103