Learn the basics of using Generative AI

Generative AI refers to a class of artificial intelligence systems capable of creating content, such as text, images, music, or even videos. In this section you'll learn the basics of how to use GenAI.

Produce the perfect prompt

Precise and Relevant

Use straightforward language that leaves little room for interpretation and include specific details:

“Write an outline for a 10-chapter children's story about a dog that gets lost in the woods while on a walk, and then is guided home with the help of woodland animals.”

Context and boundaries

Include background information to help the AI understand the scenario, and define the scope of the content:

“Create an image in the style of traditional Japanese art of a young woman fishing at the edge of a small village in vertical orientation

Logical flow

Break down complex requests in a cascading fashion, beginning with the broad request and then adding further information:

Create a training course for Adobe Photoshop to be taught to beginners by an expert. It will comprise of 8 one hour sessions that cover all areas of the user interface. The end goal of the course is to be competent with the basics of Photoshop.”

Refine and iterate

If the first attempt is not quite what you were looking for, try again with more or better information. If you have a comparison in mind, consider mentioning it:

  • “Write a poem about a man named Dave”
  • “Write a poem about a man from Bulgaria named Dave, in the style of a Limerick

Generative AI can be the start of an idea, but rarely the end...

Kickstart idea production

GenAI can be an excellent starting point for initial ideas, drafts or creative suggestions, helping to overcome writer's block, assist in brainstorming, and save time on routine tasks.

“Write a short agenda for an upcoming meeting with the following topics: upcoming event, complaint, notices, staff updates”

Tailoring and customising

Humans can tailor content to meet specific needs or preferences, amending and enhancing AI output to provide more relevant and accurate information.

Context

AI is great at creating content using patterns and data, but lacks the contextual understanding that humans possess - such as considering cultural and situational contexts, interpretation of nuanced information - and is as yet unable to apply judgement that humans are capable of.