While Large Language Models (LLM) (such as Copilot) can provide valuable assistance, they are no replacement for human guidance and support.
Further, there are reliability and ethical issues surrounding these models and their outputs which are explained on subsequent pages of this guide. Always evaluate the information in front of you. GenAI tools have no truth filter!
Copilot can help with the following:
In order to get useful results, you will need to build the right questions and set parameters for the reply or dialogue you are seeking. This concept is also called prompting, prompt design or prompt engineering.
Knowing how a Large Language Model (LLM) (like Copilot) works can be useful for creating prompts and understanding its limitations. LLMs use their vast amounts of training data to try and predict words. These predictions are based on learnt patterns and content around words. In the examples below, the words 'colourful' and 'garden' in the prompt help Copilot predict the missing word. You could almost think of it as a very sophisticated autocomplete. If confronted with fewer patterns or content in the prompt, the output is less specific.
The examples above demonstrate that the prompt you enter will influence the reply you will get.
A good prompt generates basic text that needs tweaking; a great prompt is specific and useful to the user. Great prompts have some or all of the following elements:
Try the following two prompts in Copilot and see the difference:
(by QUT, licensed under CC BY-NC-SA)
The CRAFT method is one of many approaches to prompt engineering designed to help you create effective prompts.
The acronym CRAFT stands for:
By focusing on these five components, the CRAFT method ensures that your prompts are clear, relevant, and tailored to your specific needs, leading to more accurate and contextually appropriate responses.
Watch the video below by SCU Librarians to learn how to effectively prompt GenAI tools for your assessment and studies.
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