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Understanding REST API: A comprehensive guide

Data Science Dojo

In this blog post, we will explore REST API in detail, including its definition, components, benefits, and best practices. REST (Representational State Transfer) is an architectural style that defines a set of constraints for creating web services. What is REST API? Code on Demand : REST API supports the execution of code on demand.

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Failover

Dataconomy

Failover refers to the automatic switching of a system to a backup operational mode when a primary system fails or undergoes maintenance. Definition At its core, failover guarantees that services and applications continue to function seamlessly, minimizing disruption.

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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

The following system architecture represents the logic flow when a user uploads an image, asks a question, and receives a text response grounded by the text dataset stored in OpenSearch. Then, choose Test on the top right of the event definition.

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Build verifiable explainability into financial services workflows with Automated Reasoning checks for Amazon Bedrock Guardrails

AWS Machine Learning Blog

Rather than using probabilistic approaches such as traditional machine learning (ML), Automated Reasoning tools rely on mathematical logic to definitively verify compliance with policies and provide certainty (under given assumptions) about what a system will or wont do. However, its important to understand its limitations.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning Blog

The absence of centralized workflow definitions means that message processing occurs naturally based on publication timing and agent availability, creating a fluid and adaptable system that can evolve with changing requirements. Understanding how to implement this type of pattern will be explained later in this post.

AI 100
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

In this section, we briefly introduce the system architecture. The design manages rules through a Step Functions state machine, providing a drag-and-drop GUI for flexible workflow definition. For more detailed information, refer to the GitHub repo.

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Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI

AWS Machine Learning Blog

KubeRay creates the following custom resource definitions (CRDs): RayCluster The primary resource for managing Ray instances on Kubernetes. Before AWS, Anoop has held several leadership roles at startups and large corporations, primarily focusing on silicon and system architecture of AI infrastructure.