AI for Teaching and Learning |
Intro to Text-to-Text Systems
John Behrens, director of the Technology and Digital Studies Program in the College of Arts and Letters, provides an introduction to text-to-text generative AI systems like ChatGPT, which generate text in response to user prompts based on complex statistical models. Unlike search engines, they create new content in real time, with output quality depending on prompt specificity and system capabilities. These systems are interactive, allowing users to refine and update responses through conversation. While the results can be varied and creative, the outputs are influenced by probabilities, leading to inconsistencies. Despite their imperfections, when used correctly, these tools can be powerful and significantly enhance productivity and task completion.