Understanding Large Language Models (LLMs)

Front

What does GPT stand for?

Back

Generative Pre-trained Transformer

Front

What is a foundation model?

Back

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

Front

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

Back

Petabytes

Front

What is the primary architecture used in GPT?

Back

Transformer

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

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

Front

What is fine-tuning in the context of LLMs?

Back

Adjusting the model to perform a specific task more accurately

Front

How can LLMs be used in customer service?

Back

By creating intelligent chatbots

Front

Which field can benefit from LLMs for generating articles and social media posts?

Back

Content creation

Front

How can LLMs contribute to software development?

Back

By generating and reviewing code