MN://WORK/llmdeepdive

llmdeepdive

A free bilingual course that keeps going past the analogy.

TEACHING / AIAI systemsOpen source · bilingual

LLM Deep Dive project visual from the supplied portfolio asset.
MN://llmdeepdive — System route

$ trace "llmdeepdive"

  1. concept
  2. lab
  3. teach-back
  4. evidence

The problem

Many LLM explainers stop at a metaphor. Understanding requires mechanism, evidence, practice, and a way to explain back.

The constraint

The course has to stay open, bilingual, and honest where public numbers do not reconcile.

The approach

Each lesson moves through concept, analogy, lab, teach-back, and quiz, with cited claims and a transformer anatomy explorer as the course map.

The outcome

Open knowledge with enough structure to make the learner do the work.

Next route

Open another project

The index is the wider system.

MN://palette
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