Generative Artificial Intelligence Guide
What is Generative AI?
Microsoft. (2024). Designer image creator. https://designer.microsoft.com/image-creator.
Generative Artificial Intelligence is a type of artificial intelligence (AI) that can create new content based on user input. AI generates this content by using large language models (LLMs), which are trained on large amounts of data.
What can I find in this guide?
- Torrens GenAI Guidelines - guidelines for using AI tools in your studies
- Tips for Using GenAI - how to get the most out of generative AI tools
- GenAI Tools - examples of different types of AI tools
- Evaluating Tools & Information - how to evaluate AI tools and the information they create
- Referencing AI - how to reference the information generated by AI
- Copyright & GenAI - copyright issues and considerations in the AI space
- Whats New in Generative AI? - recent research into generative AI
Where has Generative AI come from?
- While artificial intelligence models, like ChatGPT, have grown in popularity, the idea of artificial intelligence has a long history.
- Automating human thinking can be found in the records of many ancient civilisations, including ancient Phoenicia, China, Egypt and Greece.
- In the mid-21st century, the potential of artificial intelligence grew rapidly.
- Alan Turing (1912-1954) is often credited with applying algorithmic logic to form the foundations of the computers we use today.
- As well as software engineering, artificial intelligence developments rely on the research of many other disciplines, including philosophy, computational science, economics and psychology.
Books
Introduction to Generative AI by Publication Date: 2024In this easy-to-read introduction, you'll learn:
How large language models (LLMs) work, How to integrate generative AI into your personal and professional workflows, Balancing innovation and responsibility, The social, legal, and policy landscape around generative AI, Societal impacts of generative AI, Where AI is going
