All Articles & Tutorials
Explore practical guides, step-by-step masterclasses, and foundational definitions across AI, SQL, and data systems — written in plain, human English.
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Hosted or downloaded: where should an open AI model run?
Hosted open models and a download to your machine are different places for the same weights. This guide splits Groq, Together, Fireworks, and chat UIs from Ollama, LM…
Which Grok model should you use, and when should you switch?
Choose a Grok model by job: everyday chat for short rewrites, Grok 4.7 or Grok Build for long coding work, Imagine for pictures. Switch only when the job…
How to write a one-page definition for every business metric people argue about
Write a one-page metric spec with owner, grain, formula, filters, and caveats. Definitions beat dashboard debates when two people rebuild the same number.
What is an embedding in AI? How text becomes numbers
Embeddings turn text into number lists so search and RAG can match meaning. Use them for similarity and retrieval. Do not treat a near neighbor as a verified…
What is a feature store in machine learning?
A feature store shares ML feature definitions for train and serve so numbers stay consistent. Use one when skew hurts. Skip the platform when a spreadsheet of features…
