AI jargon glossary: key terms from opaque recurrence to more
A rundown of essential AI terminology that has emerged as the field expands.
The rapid growth of artificial intelligence has introduced a flood of specialized vocabulary, making it difficult for newcomers and even seasoned professionals to keep up. From technical concepts to informal shorthand, the language around AI is evolving as quickly as the technology itself.
Among the terms gaining attention is 'opaque recurrence,' which refers to pattern repetition in model outputs that is difficult to trace back to specific causes. Other phrases cover areas like model training, deployment, and evaluation, each carrying distinct meanings that shape how systems are discussed and understood.
This glossary aims to clarify some of the most frequently used words and phrases, offering straightforward definitions to help readers navigate conversations about AI. As the industry continues to develop, such references serve as useful guides for staying informed on its ever-changing lexicon.