Understanding Large Language Models Without Math

They predict the next word in a sequence.

Their inner workings are fully understood by researchers. (correct)

They are built on neural networks trained using step-by-step instructions.

They require minimal text for training.

Conventional software uses neural networks for training.

Conventional software is trained on billions of words of ordinary language.

Human programmers give explicit, step-by-step instructions to ChatGPT. (correct)

ChatGPT is programmed to predict the next word.

No human fully comprehends how they predict the next word. (correct)

They are built using advanced mathematical equations.

They were developed with minimal text data.

Researchers have no interest in understanding them.

<p>LLMs are trained with billions of words of ordinary language.</p> Signup and view all the answers

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