Understanding Large Language Models without Math or Jargon

By giving computers explicit, step-by-step instructions (correct)

By using a long list of numbers called word vectors

By training neural networks using billions of words

By building on the transformer building block

To make knowledge about LLMs accessible to a broad audience (correct)

To introduce advanced mathematical concepts in language modeling

To explain the technical jargon in detail

To explore the mysteries of human language processing

By training neural networks using massive amounts of text

By understanding the inner workings of LLMs

By assigning sequence of letters like C-A-T for cat (correct)

Using a long list of numbers called a word vector

<p>Because good performance necessitates phenomenally large data quantities</p> Signup and view all the answers

<p>Washington DC located at specific coordinates</p> Signup and view all the answers