AI Primer

Orientation · Module 2

Roadmap for the next 25 slides

I

Probability

The grammar of uncertainty.

II

Statistics

Estimating truths from data.

III

Machine learning

Functions that improve with data.

IV

Neural networks

Universal approximators.

V

Transformers + LLMs

Language as the universal interface.

VI

Agents

Models that act, plan, and coordinate.

Applied frame

Use the claim as an operating assumption, then ask what evidence would make it true in your own workflow.

Diagram cue

The diagram turns the module into a decision surface: pressure, evidence, action, and review.

Roadmap from probability through statistics, machine learning, networks, LLMs, and agents
The primer builds from uncertainty and evidence toward models that can act.
Roadmap for the next 25 slides animated explainer
Owned Edwy animated explainer for Roadmap for the next 25 slides.

The primer advances from uncertainty to acting agents. Key motion beats: probability, statistics, ML, networks, LLMs, agents.

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