AI

Parametric knowledge

What the model stored in its weights. No URL. Hard to update. Easy to be stale or confident and wrong.

GEO against parametric knowledge is slow: consensus on the public web until the next train, plus browsing for anything that must be current.

That’s why Search toggles matter.

Examples

  • Parametric: you are a design tool. You pivoted to data. Search mode knows. Memory mode doesn’t.

Related terms

Knowledge cutoff

The date after which the model’s weights don’t include the web. Anything newer needs browsing or RAG.
RAG (retrieval-augmented generation)

RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.
Training data optimization

Trying to influence future weights. Slow, uncertain, mostly the same as being widely and accurately discussed on the public web.

FAQ

Overwrite parametric knowledge? +

You don’t overwrite weights. You drown them with retrieval and time.

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