Generative artificial intelligence (Gen-AI) is a form of artificial intelligence technology that uses sets of data and information to generate new content (text, images, code, etc) based on data patterns, context, probability and human feedback.

What you will learn

It is important to understand that Gen-AI tools are not intelligent – all outputs are based on probability informed by the information and datasets they have been trained on. As many tools don’t have access to the internet or the ability to search it independently, information they generate may biased or be out of date.

For more information about the history, training and ethics of AI, complete our 23 Things Module: AI.

Important considerations

While there are many ways that Gen-AI can be utilised in study and assignments, you must check your assessment guidelines and/or unit guide to ensure usage is allowed. If you use Gen-AI for an assessment without explicit permission, you could be breaching academic integrity guidelines.

Glossary

  • Input - The information or questions that you enter into a Gen-AI tool.
  • Large Language Model (LLM) - An AI model that can comprehend and generate human language.
  • Model - An AI program that uses data to recognise patterns and make decisions.
  • Output - The new data or information created by Gen-AI tools in response to the prompt.
  • Prompt - See ‘input’.
  • Token - Units of text that the AI processes when building a response, including words, parts of words, or characters.

Resources

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