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A step-by-step walkthrough of promoting a Windows Server 2025 machine to a domain controller, plus the post-promotion checklist that’s easy to skip.
How to benchmark AI models for your own specific use case, and why public benchmarks like MMLU frequently don’t predict real-world task performance.
Federated learning explained: training a shared AI model across many devices without ever centralizing the raw underlying data.
PHP 8.1 enums explained with a real order-status example, including how backed enums map cleanly to and from a database.
Separating AI training cost from inference cost, what actually drives the energy numbers, and the efficiency gains that are steadily changing the picture.
From Rosenblatt’s 1958 Perceptron through two AI winters to the 2017 Transformer paper — and why today’s scaling-driven progress looks structurally different.