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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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Consider This Defense Science Board Warning In Light of The OPM Hack

CTOvision

The Defense Science Board Report of January 2013 on the resilience of DoD systems to cyber attack. Read on for more about what the DSB reported as the threat to military systems. It is also available at: Resilient Military Systems and the Advanced Cyber Threat. Here are more details: .

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How Cloud Security Influences IoT Security

Xebia

So, let’s talk more about what are the issues that cloud systems that handle IoT devices face and what are the potential solutions to them. However, the same level of security improvements have not been done on the backend systems monitoring and maintaining these devices. . The cloud services behind the devices are not.

IoT 130
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A Guide to Building a Structured Hiring Process for Tech Recruiters

Hacker Earth Developers Blog

Heres an example of how you can structure your screening process: Stage 1: Resume and Application Review Start by reviewing resumes to ensure candidates meet the basic qualifications for the role. This can be a technical skills test, a problem-solving exercise, or even a short coding challenge.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

The use cases can range from medical information extraction and clinical notes summarization to marketing content generation and medical-legal review automation (MLR process). In this post, we explore how LLMs can be used to design marketing content for disease awareness.