Question: Fill in the blank: In order to generate helpful outputs, _____ are trained on vast amounts of text, which teaches them to identify patterns among words, concepts, and phrases.
- prompt iterations
- audience members
- text-to-speech solutions
- large language models
Explanation
Large language models are trained on extensive text data so they can identify patterns among words, concepts, and phrases. These patterns help the model predict and generate language that fits a prompt. This capability supports tasks such as summarizing, explaining, drafting, and answering questions. The model’s output still requires review because generated language can be inaccurate or unsupported.
Why the other options are incorrect
Prompt iterations is incorrect because iterations are repeated prompt refinements, not models trained on text.
Audience members is incorrect because this refers to the people the output is intended for.
Text-to-speech solutions is incorrect because they convert written text into spoken audio rather than learning language patterns for response generation.
Source for verification
https://cloud.google.com/learn/what-is-artificial-intelligence
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Generative AI for Educators" page.