[MichaelMoser123]

i think it is working with embeddings - meaning that each word (or word stem) is represented by a very long vector of floating point numbers. These vectors are the result of something like word2vec. The input text is transformed into these embedding vectors and lined up in sequence (that's called the context window), then this gargantuan ML model works starts to process this gargantuan input sequence.

[WillAdams]

Yes, but it's a processing by association, not understanding.