In-depth articles about AI and technology.
Practical steps to keep sensitive data safe when using AI tools, from knowing who stores your prompts to building a privacy-safe d...
Garbage in, garbage out applies to NLP more than anywhere. A short, practical tour of cleaning text in Python before it reaches a...
Review
Tabnine answers a question most coding AI ignores: what if your code cannot leave your building? The answer is good — with limits.
Machines do not read the way we do. Learn the pipeline that turns raw text into something a model can understand and search.
New open-weight models appear constantly. A clear way to choose between them by focusing on three questions: size, licence and the...
Nearly every modern AI model shares one architecture. Understanding the transformer explains what these models are good at and whe...
A deep network is just many small calculations stacked together. Learn what each layer contributes and how the error flows back th...
Stop trusting leaderboards. Build an evaluation set from real traffic, measure what matters, and add guardrails for what evals can...
The AI world can feel crowded with model names. A look at the main families, GPT, Claude, Gemini and LLaMA, and how to tell their...
Machine learning is a way of writing software where the rules come from data instead of from a programmer. Here is the whole loop...
Basic prompts get okay answers. These three habits get answers you can parse, trust and verify.
Running AI on your own machine is realistic, but memory matters more than speed. A plain-language guide to CPU-only setups, GPU ti...