Artificial Intelligence: Teaching and Learning Guide

“Generative AI refers to deep-learning models that can take raw data — say, all of Wikipedia or the collected works of Rembrandt — and “learn” to generate statistically probable outputs when prompted. At a high level, generative models encode a simplified representation of their training data and draw from it to create a new work that’s similar, but not identical, to the original data” (IBM, n.d.).

Examples of generative artificial intelligence are:

• Code generators (OpenAI Codex)
• Image synthesis (DALL-E)
• Music composition (AIVA)
• Research assistant (Elicit)
• Storytelling generation (Tome)
• Text generation (OpenAI’s GPT-3 and GTP-4)