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Agentic AI design: An architectural case study

CIO

Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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Police Reform and Systems Design in 5 Clear Points

Scott Berkun

That word, system , is one that designers know well. Systems theory is its own subject, as are police history and police reform, but I haven’t seen them brought together in a simple way that most people can grasp. Civilian review boards rarely have power.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Organizations possess extensive repositories of digital documents and data that may remain underutilized due to their unstructured and dispersed nature. Solution overview This section outlines the architecture designed for an email support system using generative AI. Refer to the GitHub repository for deployment instructions.

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Netflix’s Distributed Counter Abstraction

Netflix Tech

In this context, they refer to a count very close to accurate, presented with minimal delays. Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service. Clients can use this token to safely retry or hedge their requests.

Windows 100
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Distributed systems: A quick and simple definition

O'Reilly Media - Ideas

Get a basic understanding of distributed systems and then go deeper with recommended resources. These always-on and always-available expectations are handled by distributed systems, which manage the inevitable fluctuations and failures of complex computing behind the scenes. “The Benefits of distributed systems.