There are numerous types of GenAI that can create music, art, video, text, code, equations or even a blend of these. However, keep in mind that GenAI is limited by the amount, quality and context of the data it's trained on.
When appropriate and permitted, GenAI tools can be used to support teaching or research including creating content, exploring ideas or synthesising information. Refer to the Digital Workplace for a list or QUT-endorsed tools with AI functionality. Using non-endorsed AI tools can expose the university’s data or personal information to the public.
Remember, when using these tools you must consider copyright, intellectual property, data security and content licensing restrictions. Refer to Evaluative and ethical use page in this guide.
Note: Staff must not require students to use any GenAI tools other than those endorsed by QUT.
Note: Image generated using Microsoft Copilot, 2024 (https://copilot.microsoft.com/)
GenAI analyses the text from books, articles, and websites that it is trained on to find patterns and relationships in human language. Once it is trained, it can create new text based on an understanding of human language.
Microsoft Copilot is QUT's approved generative AI chat solution. It is an AI-powered digital assistant that aims to provide personalised assistance to users. It incorporates ChatGPT with the Microsoft Office environment and is available to QUT staff and students.
ChatGPT (Chat Generative Pre-trained Transformer) is a GenAI chatbot that has been developed by OpenAI. It is an example of a Large Language Model (LLM) that uses Natural Language Processing (NLP) to generate content in a conversational tone.
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Limitations:
GenAI image tools can produce diverse images in a range of mediums, everything from photorealistic oil painting style to anime.
Adobe Firefly and Creative Cloud are endorsed for use at QUT.
Other, not QUT-endorsed tools, include Stable Diffusion which is an AI art generator that enables users to create unique imagery from short text descriptions, also known as prompts.
DALL·E 2 is an AI system that enables users to create images and art from a text description in natural language.
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Importantly, these models inherit the bias of their training datasets. For example, the prompt 'a doctor' using Canva's text to image tools resulted in four pictures of older white males in white lab coats.
Note: Image generated using Canva, 2023 (https://www.canva.com/en_au/)
There are many GenAI tools that claim to automate parts of the research process and make long, complex texts easier to decipher. This type of AI often analyses research papers that users upload to extract key information or summarise a paper. they can also help with literature review mapping and citation.
Elicit is an AI research assistant that uses machine learning to help automate parts of the research workflow. It can find relevant papers without perfect keyword matches, and summarise and extract key information from the papers.
Scite is a platform that helps researchers discover and evaluate scientific articles using Smart Citations. Smart Citations show the context and the classification of how a publication has been cited by other publications, whether it provides supporting or contrasting evidence for the cited claim.
Enago Read and genei can summarise PDFs and web pages and extract keywords.
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Creating video content is time-consuming. You need a script or lyrics, recordings and then you need to edit. There are generative AI video programs that have been trained on some or all of these elements allowing you to control what is created.
Some examples of generative AI that can create audio content include AIVA, Soundful and Murf.ai.
Some examples of generative AI that can create videos include Gen-1 Runway and Invideo.
Learning to code is similar to learning a language, and can be just as hard. Instead of searching the internet for help when coders get stuck, GenAI models can now be used to help with generating and improving code or even finding errors.
This means that you could use a tool like GitHub Actions to reformat new code to match old, instead of spending hours manually formatting it yourself; or even build a complete website with no coding experience. But beware, it'll likely come at a cost.
Some examples of generative AI that can create code include ChatGPT, CodeT5 and Tabnine.
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