Understanding Large Language Models (LLMs)

Understanding Large Language Models (LLMs)

Assessment

Flashcard

Computers

9th Grade

Practice Problem

Easy

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Wayground Content

Used 1+ times

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10 questions

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1.

FLASHCARD QUESTION

Front

What does GPT stand for?

Back

Generative Pre-trained Transformer

2.

FLASHCARD QUESTION

Front

What is a foundation model?

Back

A model trained on large amounts of unlabeled and self-supervised data.

3.

FLASHCARD QUESTION

Front

What is the potential size of the text data used to train LLMs? Options: Gigabytes, Terabytes, Petabytes, Kilobytes

Back

Petabytes

4.

FLASHCARD QUESTION

Front

What is the primary architecture used in GPT?

Back

Transformer

5.

FLASHCARD QUESTION

Front

What does the transformer architecture enable the model to handle? Options: Images, Audio files, Numerical data

Back

Sequences of data like sentences or lines of code

6.

FLASHCARD QUESTION

Front

During training, what does the model learn to predict? Options: The next sound in an audio file, The next word in a sentence, The next number in a series, The next image in a sequence

Back

The next word in a sentence

7.

FLASHCARD QUESTION

Front

What is fine-tuning in the context of LLMs?

Back

Adjusting the model to perform a specific task more accurately

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