Generative intelligence refers to the ability of a system, typically an artificial intelligence (AI) system, to generate new and original content, ideas, or solutions. It involves the capability to create something that is not explicitly programmed or pre-defined but is generated based on learned patterns, rules or models. Most people know this in the form of ChatGPT, a new chatbot developed by Open AI, the new Google. The Massachusetts Institute of Technology (MIT) brought this interesting news to our attention in their article, “Learning to grow machine-learning models.”

It’s no secret that ChatGPT has some incredible capabilities, including writing poetry at a professional level, debugging code for a computer program, etc. These abilities are made possible by the massive machine learning model that ChatGPT has as basis. Researchers have found that when these types of models become large enough, extraordinary capabilities emerge – as does the cost and time to develop.

Artificial Intelligence (AI) has come a long way since its inception in the 1950s, and machine learning has been one of the key drivers behind its growth. With advancements in the field, the AI landscape has changed dramatically, and AI models have become much more sophisticated and human-like in their abilities. ChatGPT is one such model.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.