The Transformer Architecture, Explained Without the Math Wall
A plain-language tour of the transformer: how attention works, why position has to be added in, and what each layer contributes to the final result.
8 min read
The archive
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Guides and explainers on artificial intelligence, newest first. Pick a topic to narrow things down.
Choosing a Language Model for Your Product: A Criteria Checklist
A practical checklist for picking a language model for a real product, covering task quality, latency, cost, privacy, deployment options, and the risk of depending on a vendor.
8 min read
How to Scope Your First AI Project So It Actually Ships
A step-by-step way to pick, frame, and bound a first AI project so it reaches real users instead of stalling as a promising demo that never leaves the pilot stage.
9 min read
How to Evaluate a Machine Learning Model
A practical guide to precision, recall, F1, ROC-AUC, and calibration, and how to choose evaluation metrics that reflect what mistakes actually cost.
8 min read
Practical AI Use Cases for Small Businesses (and the Ones to Skip)
Where AI tools genuinely save time in a small business, where they quietly create risk, and a simple way to decide which tasks are worth handing over first.
8 min read
Measuring the ROI of AI Projects Without Fooling Yourself
How to estimate what an AI project actually returns: honest baselines, full costs, the price of errors, and comparisons that separate real gains from wishful accounting.
7 min read
Supervised, Unsupervised, and Self-Supervised Learning: A Practical Comparison
How the three main ways of learning from data differ, what each one needs from you, and how to pick the right approach for a real project.
9 min read