AWS Machine Learning

NOVEMBER 19, 2024

Clone the repo To get started, clone the repository by running the following command, and then switch to the working directory: git clone [link] Build your guardrail To build the guardrail, you can use the CreateGuardrail API. For example, a banking assistant application can be designed to deny topics related to illegal investment advice.

APIs 101

APIs Government Banking Engineering 101

AWS Machine Learning

OCTOBER 29, 2024

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. With Lambda integration, we can create a web API with an endpoint to the Lambda function.

Engineering 100

Engineering APIs Sales Enterprise 100

AWS Machine Learning

APRIL 9, 2025

In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge bases using Retrieval Augmented Generation (RAG) to provide an answer to the users request. Lets consider our HR agent example.

APIs 86

APIs Entertainment Enterprise Feedback 86

AWS Machine Learning

DECEMBER 4, 2024

For example, by the end of this tutorial, you will be able to query the data with prompts such as “Can you return our five top selling products this quarter and the principal customer complaints for each?” This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data.

APIs 95

APIs Sales Surveys Analytics 95

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 115

APIs Transportation Best practices Enterprise 115

AWS Machine Learning

MARCH 14, 2025

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. For example, your agent could take screenshots, create and edit text files, and run built-in Linux commands. The output is given back to the Amazon Bedrock agent for further processing.

APIs 120

APIs Engineering CRM Enterprise 120

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 102

APIs Scripts Enterprise Management 102

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 113

APIs Banking Best practices Engineering 113

AWS Machine Learning

OCTOBER 31, 2024

Then we provide examples of how to use the AI-powered chat interface to gain insights from the connected data source. We provide the service account with authorization scopes to allow access to the required Gmail APIs. In our example, we name the project GmailConnector. Choose Enable to enable this API. Choose Create.

APIs 105

APIs Accountability Enterprise Engineering 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 122

APIs Enterprise Best practices Accountability 122

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 100

APIs Government Best practices Metrics 100

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

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 105

APIs Benchmark Construction Enterprise 105

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. With this launch, customers can now seamlessly share and access ML models registered in SageMaker Model Registry between different AWS accounts.

Government 83

Government Management APIs Accountability 83

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 133

Healthcare Enterprise APIs Transportation 133

AWS Machine Learning

MARCH 25, 2025

Then we deep dive into the new rolling update feature for inference components and provide practical examples using DeepSeek distilled models to demonstrate this feature. Consider an example where a customer has 10 copies of an inference component spread across 5 ml.p4d.24xlarge You can find the example notebook in the GitHub repo.

APIs 89

APIs Engineering Accountability Metrics 89

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 90

Management APIs Engineering Metrics 90

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 72

APIs Enterprise Accountability Government 72

AWS Machine Learning

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management. For example, CustomerServiceGuardrail-001.

APIs 102

APIs Chatbots Enterprise Customer centricity 102

AWS Machine Learning

APRIL 10, 2025

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 our example, we use the Top picks for you recommender. In this example, we create a Top picks for you recommender. Create a recommender.

Personalization 79

Personalization APIs Advertising Accountability 79

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 99

APIs Chatbots Construction Engineering 99

AWS Machine Learning

MARCH 27, 2025

We also showcase a real-world example for predicting the root cause category for support cases. For the use case of labeling the support root cause categories, its often harder to source examples for categories such as Software Defect, Feature Request, and Documentation Improvement for labeling than it is for Customer Education.

Education 95

Education Engineering APIs Enterprise 95

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 80

Government APIs Enterprise Technology 80

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 100

APIs Call Center Engineering Personalization 100

AWS Machine Learning

MARCH 27, 2025

We provide practical examples for both SCP modifications and AWS Control Tower implementations. Importantly, cross-Region inference prioritizes the connected Amazon Bedrock API source Region when possible, helping minimize latency and improve overall responsiveness. This completes the configuration.

Accountability 98

Accountability Government APIs Enterprise 98

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 94

APIs Scripts Best practices Management 94

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 127

APIs Engineering Healthcare Education 127

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 80

APIs Healthcare Consulting Consulting 80

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 88

Benchmark APIs Enterprise Scripts 88

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 98

Best practices Feedback Metrics APIs 98

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 104

Engineering APIs Analytics Enterprise 104

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 98

APIs Engineering Personalization Transportation 98

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 73

APIs Management Benchmark Scripts 73

AWS Machine Learning

APRIL 10, 2025

By choosing View API , you can also access the model using code examples in the AWS Command Line Interface (AWS CLI) and AWS SDKs. Pixtral Large use cases In this section, we provide example use cases of Pixtral Large using sample prompts. Additionally, Pixtral Large supports the Converse API and tool usage.

APIs 84

APIs Management Marketing Engineering 84

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 108

APIs Engineering Chatbots Construction 108

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

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 91

Chatbots Interactive Voice Response APIs Telecommunications 91