From ingestion to retrieval — the mathematical disciplines in sequence
Follow a corpus of documents through the full data lifecycle. Each stage is a live, interactive application of a mathematical discipline: tokenization, inferential statistics, linear algebra, calculus, probability, and descriptive geometry — culminating in retrieval.
Hover the dotted terms above to see a plain-English definition.
Raw data arrives as documents. Before any math can act, the text is split into tokens — the atomic unit of every transformation that follows. Click a document to include or exclude it from the corpus.
From language to behavior, one transformation at a time
Each stage is a fully interactive step in the AI pipeline. Move through the walkthrough to see how words become numbers, numbers become predictions, and predictions become the behavior we observe.
Three takeaways
The chapter, distilled for the reader in a hurry.
Mathematics is the foundation — trust and accountability are the practice
Understanding how AI works internally is the beginning. Chapters 1 and 2 show how organizations turn that understanding into trustworthy, accountable practice.
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