Generative AI can assist in creating a wide range of documents, from professional reports and essays to technical guides and creative scripts. Knowing the types of documents you can create and how to prompt for them ensures optimal results.
Generative AI (GenAI) is a powerful tool for generating creative content, solving problems, and refining your ideas. One of its most valuable uses is providing detailed, actionable feedback. This webpage will guide you on how to prompt GenAI models effectively to obtain high-quality feedback and improve your overall results.
Feedback from GenAI can help you:
Using the Stable Video tool, the header video was created using the following prompt:
shot from a drone, dust storm in a field in the midwest
Artificial intelligence has been in our everyday lives for some time. Think of Amazon's Alexa and Apple's Siri voice assistants. They can be helpful to perform tasks.
Generative artificial intelligence has been researched for decades, but has not been widely implemented or discussed outside research circles. You may have experienced generative AI though predictive text (Smart Compose) in Gmail.
The UIS Syllabus and Assignment Icons, adapted from the Oregon State project, represent some approaches to generative AI use for course policies and assignments. Syllabus statements are also a great way to frame the conversation about generative AI with your students. As instructors, it is important to provide guidance on acceptable generative AI usage from the start of a course. Instructors are encourages to modify and adapt the descriptions to fit courses and assignments.
Adobe Photoshop features Generative Fill capability, that allows users to prompt Photoshop to create or update an image with GenAI. Photoshop uses the Adobe Firefly Image Model to create richer, more lifelike images, that help to bring life into your photographs.
When using different GenAI models, you may encounter biases stemming from unequal representation in the training data. This can manifest as gender biases and a lack of diversity in the subjects depicted in the generated images.
Some examples of bias found when using GenAI image models:
Prompt: engineer
All the images generated show white, male subjects.
The prompt asks for a summary of key discoveries made by a specific scientific instrument (the Hubble Space Telescope) and requests citations from reliable sources. This approach helps to determine the source of the information provided and allows users to check for accuracy.
User: "What are the top 3 most important discoveries that the Hubble Space Telescope has enabled?
Answer only using reliable sources and cite those sources."
"Conduct a sentiment analysis on the following set of customer reviews for a new product. Provide a summary of the overall sentiment, categorize each review, and identify key themes mentioned."