Artificial Intelligence: As defined by IBM, a long-standing leader in artificial intelligence, “at its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms which seek to create expert systems which make predictions or classifications based on input data.”
Source: https://www.ibm.com/topics/artificial-intelligence
Generative Artificial Intelligence: According to the World Economic Forum, generative artificial intelligence “refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on.” Tools like ChatGPT, Gemini, DALL-E 2 are all examples of generative AI.
Source: https://www.weforum.org/agenda/2023/02/generative-ai-explain-algorithms-work/
To learn more about artificial intelligence and its many sub-domains, this Introduction to Generative AI from Google [video] is a great place to start.
*Images created using Copilot and DALL-E 3