AWS Machine Learning

MARCH 19, 2025

One can quickly host such application on the AWS Cloud without managing the underlying infrastructure, for example, with Amazon Simple Storage Service (S3) and Amazon CloudFront. Note that these APIs use objects as namespaces, alleviating the need for explicit imports. Here, we use Anthropics Claude 3.5 Sonnet).

APIs 114

APIs Automotive Accountability Analytics 114

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 128

APIs Scripts Enterprise Management 128

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 118

APIs Government Banking Engineering 118

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 112

Engineering APIs Sales Enterprise 112

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 107

APIs Sales Surveys Analytics 107

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 131

APIs Transportation Best practices Enterprise 131

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 135

APIs Engineering CRM Enterprise 135

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 131

APIs Banking Best practices Engineering 131

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 120

APIs Accountability Enterprise Engineering 120

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 98

APIs Enterprise Accountability Government 98

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 106

Government Management APIs Accountability 106

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 117

Management APIs Engineering Metrics 117

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 105

APIs Engineering Chatbots Best practices 105

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 112

APIs Government Best practices Metrics 112

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 133

APIs Enterprise Best practices Accountability 133

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 105

Personalization APIs Advertising Accountability 105

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 118

APIs Benchmark Construction Enterprise 118

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 124

APIs Chatbots Enterprise Customer centricity 124

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 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 111

APIs Engineering Accountability Metrics 111

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 120

Accountability Government APIs Enterprise 120

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 112

Education Engineering APIs Enterprise 112

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 113

Benchmark APIs Enterprise Scripts 113

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 105

Government APIs Enterprise Technology 105

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 96

APIs Healthcare Consulting Consulting 96

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 112

APIs Call Center Engineering Personalization 112

AWS Machine Learning

APRIL 24, 2025

For enterprise data, a major difficulty stems from the common case of database tables having embedded structures that require specific knowledge or highly nuanced processing (for example, an embedded XML formatted string). As a result, NL2SQL solutions for enterprise data are often incomplete or inaccurate.

Enterprise 88

Enterprise Construction Scripts APIs 88

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 101

APIs Technology Management Enterprise 101

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 109

APIs Chatbots Enterprise Healthcare 109

AWS Machine Learning

MARCH 26, 2025

24xlarge", hyperparameters=my_hyperparameters, ) estimator.fit({"training": train_data_location}) For a custom model, see the example notebooks in GitHub. Update models in the private hub Modify your existing private HubContent by calling the new sagemaker:UpdateHubContent API. Refer to the public API documentation for more details.

APIs 109

APIs Enterprise Government Accountability 109

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 116

APIs Best practices Management Personalization 116

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 111

APIs Management Marketing Engineering 111

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 114

Best practices Feedback Metrics APIs 114

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

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 144

Healthcare Enterprise APIs Transportation 144

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

DECEMBER 2, 2024

You can retrieve the number of copies of an inference component at any time by making the DescribeInferenceComponent API call and checking the CurrentCopyCount. In the following code example, we set the TargetValue to 5. The specific permissions needed depend on the target API being called. import json scheduler = boto3.client('scheduler')

APIs 109

APIs Best practices Metrics Engineering 109