Not quite. An LLM generates text that would likely follow. The sky is… “blue”. A patient in pain with a bone protruding from their shin has a… “broken leg”.

The more training data, the more questions it can answer with a reasonable degree of probability of accuracy.

Throwing away a potentially useful analysis just because it’s probabilistic seems a bit like throwing the baby out with the bath water.