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

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?” Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account.

APIs 107

APIs Sales Surveys Analytics 107

AWS Machine Learning

NOVEMBER 19, 2024

Prerequisites Before you start, make sure you have the following prerequisites in place: Create an AWS account , or sign in to your existing account. For example, an ecommerce site can design its online assistant to not use inappropriate language, such as hate speech or insults.

APIs 118

APIs Government Banking Engineering 118

AWS Machine Learning

DECEMBER 18, 2024

Prerequisites Before proceeding, make sure that you have the necessary AWS account permissions and services enabled, along with access to a ServiceNow environment with the required privileges for configuration. AWS Have an AWS account with administrative access. For more information, see Setting up for Amazon Q Business. Choose Next.

APIs 98

APIs Enterprise Accountability Government 98

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

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

APRIL 10, 2025

For instance, as a marketing manager for a video-on-demand company, you might want to send personalized email messages tailored to each individual usertaking into account their demographic information, such as gender and age, and their viewing preferences. In our example, we use the Top picks for you recommender.

Personalization 105

Personalization APIs Advertising Accountability 105

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

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 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

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

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

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

DECEMBER 11, 2024

The following screenshot shows an example of an interaction with Field Advisor. Weve seen our sales teams use this capability to do things like consolidate meeting notes from multiple team members, analyze business reports, and develop account strategies.

Sales 110

Sales Accountability APIs CRM 110

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

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

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 118

APIs Benchmark Construction Enterprise 118

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 ). If this option isn’t visible, the Global Resiliency feature may not be enabled for your account.

Chatbots 114

Chatbots Interactive Voice Response APIs Telecommunications 114

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 105

Government APIs Enterprise Technology 105

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

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 26, 2025

24xlarge", hyperparameters=my_hyperparameters, ) estimator.fit({"training": train_data_location}) For a custom model, see the example notebooks in GitHub. To learn more about how to manage models using private hubs, see Manage Amazon SageMaker JumpStart foundation model access with private hubs.

APIs 109

APIs Enterprise Government Accountability 109

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

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

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. In this post, we focus on one such complex workflow: document processing. Access to the Anthropics Claude 3.5

APIs 96

APIs Healthcare Consulting Consulting 96

AWS Machine Learning

APRIL 23, 2025

For example, the job identifies and redacts sensitive data entities like name, email, address, and other financial PII entities. For more information, see Redacting PII entities with asynchronous jobs (API). The query is then forwarded using a REST API call to an Amazon API Gateway endpoint along with the access tokens in the header.

APIs 75

APIs Healthcare Enterprise Accountability 75

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 106

Enterprise Engineering APIs Best practices 106

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

DECEMBER 9, 2024

For example, you can give users access permission to download popular packages and customize the development environment. Prerequisites You need an AWS account with an AWS Identity and Access Management (IAM) role with permissions to manage resources created as part of the solution. For details, see Creating an AWS account.

Metrics 105

Metrics APIs Engineering Accountability 105

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

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

NOVEMBER 20, 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.

Construction 118

Construction APIs Metrics Accountability 118

AWS Machine Learning

FEBRUARY 13, 2024

For example, in an application that recommends a music playlist, features could include song ratings, listening duration, and listener demographics. SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. Features are inputs to ML models used during training and inference.

Accountability 129

Accountability Government Engineering Scripts 129

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 112

Benchmark APIs Enterprise Construction 112

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 106

Metrics Engineering Benchmark APIs 106

AWS Machine Learning

JANUARY 24, 2025

The workflow steps are as follows: The user submits an Amazon Bedrock fine-tuning job within their AWS account, using IAM for resource access. The fine-tuning job initiates a training job in the model deployment accounts. For Security group name , enter a name (for example, bedrock-kms-interface-sg ). For VPC , choose your VPC.

Best practices 114

Best practices Accountability industry standards Metrics 114