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LLM facts & stats

7 fact-checked facts about large language models and how they work, each with the reason behind it. 5 more are in today's round and join this page after it closes.

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The basics

What are LLMs mainly trained on?

AnswerLarge amounts of text

They learn patterns of language from huge text collections.

In AI tools, what is a prompt?

AnswerThe input you give the model

A prompt is the text or instruction the model responds to.

Going deeper

In LLMs, what are tokens?

AnswerChunks of text the model processes

Text is split into tokens, which may be words or word pieces.

What does GPT stand for?

AnswerGenerative Pre-trained Transformer

GPT models are pre-trained on text and generate new text.

What does RLHF stand for?

AnswerReinforcement learning from human feedback

RLHF uses human ratings to steer model behavior.

Expert level

What does raising the temperature setting of an LLM generally do?

AnswerMakes output more random

Higher temperature spreads probability across more word choices.

What does the word2vec method produce?

AnswerWord embeddings (vectors)

Word2vec, from 2013, maps words to vectors that capture meaning.

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