AI technologies aren’t new, but the recent pace of development—coupled with the increasing level of public awareness—has been significant. GenAI, in particular, has risen to prominence this year. It uses software called generative pre-trained transformers (GPTs) to apply machine learning and deep learning techniques to large language models containing large volumes of both public and proprietary data. Using direct user prompts, GPTs synthesise the data to generate text, imagery, music, and other outputs. 

Extensive press and media coverage has shone a light on its advantages and limitations, and its adoption is growing.

The recent investigation into GenAI by RSSB’s Futures Lab has culminated in the release of its first Rapid Technology Briefing. This report, which you can download here, compiles what we know so far to set out a helpful ‘present-state’ description of these technologies. It also highlights key areas for organisations to consider and outlines how the technology may continue to develop. 

Caution necessary during GenAI’s continued development