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AI Literacy Framework

A framework to enhance the knowledge, literacy and capabilities of UQ students and staff on artificial intelligence (AI).

AI terms

Artificial intelligence: machines or programs that can recognise patterns, analyse data, solve problems, complete tasks, and learn like a human. 

Chain-of-thought prompting: a technique in which the model is encouraged to provide reasoning for its answer in a series of logical steps to solve a problem provided it initially got wrong in its output. 

Few-shot prompting: provides examples of how a task is to be solved. It is used to provide guidance for the required output. 

Generative AI: Generative AI or GenAI creates new information or outputs — images, text, music — based on existing data. 

Machine translation: Machine Translation or MT is an automated process in which a computer program converts text in one language into another. 

Natural Language Processing: allows computers to process language in a similar way to humans. 

Prompt engineering: Prompt engineering involves designing and refining the input instructions for AI tools to perform tasks. 

Prompts: Prompts are the input instructions for AI tools to perform tasks. They can include text, data (such as tables) or images. 

Simple prompt: A simple prompt or zero-shot prompt relies on the LLM training data to answer a question without any examples.