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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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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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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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Build a water consumption forecasting solution for a water utility agency using Amazon Forecast

AWS Machine Learning Blog

For What-if forecast definition method , select Use transformation functions. Conclusion In this post, we showed you how easy to use how to use Forecast and its underlying system architecture to predict water demand using water consumption data. You need this analysis to forecast and meet the water supply for increased demand.

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Data Intelligence empowers informed decisions

Pickl AI

Criteria Data Intelligence Data Information Artificial Intelligence Data Analysis Definition Data Intelligence involves the analysis and interpretation of data to derive actionable insights. Data Architect Designs and creates data systems and structures for optimal organisation and retrieval of information. Look at the table below.

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How to Build an Experiment Tracking Tool [Learnings From Engineers Behind Neptune]

The MLOps Blog

Learn more Explainability and Auditability in ML: Definitions, Techniques, and Tools Monitor and evaluate experiment performance for effective decision-making Most of the time, it makes sense to compare the results of experiments done with different dataset versions and parameters. One of those principles describes modularity.

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Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Journey to AI blog

Under such centrally governed systems, accountability needs to co-exist with privacy, while both need to respect the need for authorized audits. The system must be resilient to a Byzantine fault , so that it can continue to operate even if parts of the system have been compromised.