Generative AI has been a hot topic in the public relations industry for over a year now, sparking curiosity and concern among communicators about the future of their work. With the rapid advancements in technology, many people are unsure about what artificial intelligence is capable of and how it will impact their roles.
To address this uncertainty, a short glossary of commonly used AI terms has been compiled in plain English to help communicators better understand the technology and its implications. From AI to machine learning to deep learning, each term is explained in a way that is easy to grasp for those unfamiliar with the jargon.
Machine learning, for example, is described as using algorithms to learn and generalize information, while deep learning goes a step further with neural networks that have more than three layers, allowing for deeper and more nuanced thinking. Foundational models, on the other hand, are massive stores of data used to train deep learning algorithms, with some models containing over a trillion parameters.
Generative AI, specifically, is highlighted as a subset of AI that is designed to generate new content by leveraging foundational models and AI applications. This technology is used in various applications, such as video and language generators, to create unique and innovative content.
By understanding these AI terms, communicators can better navigate the evolving landscape of technology and effectively communicate the benefits and challenges of AI to the public. With this knowledge, PR professionals can stay ahead of the curve and harness the power of AI to enhance their work and daily lives.