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Spark.
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Reliability and knowledge

Parametric knowledge

Parametric knowledge is information encoded in a model’s learned parameters from training. It can be useful but may be incomplete, outdated, or difficult to trace to a source.

Example

A model may recall the general shape of a SQL join but still need the local schema to write a correct query.