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this post was submitted on 23 May 2024
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Yeah I'm not an AI expert, or even really someone who studies it as my primary role. But my understanding is that part of the "innovation" of modern LLMs is that they generate tokens, which are not necessarily full words, but simply small linguistic units. So basically with enough training the model can learn to predict the most likely next couple of characters and the words just generate themselves.
I haven't looked too much into it either, but from that very brief description, it sounds like that would help to mostly make it sound more natural by abstracting a bit over word roots and considering grammar structures, without actually baking those into the model as logic.
AI text does read pretty naturally, so hopefully my interpretation is correct. But it's also very verbose, and can repeat itself a lot.