From RAG to TAG: Leveraging Terminology in AI

Companies struggle to build reliable applications on top of LLMs. They are inherently probabilistic, do not comply with corporate language and tend to hallucinate without sufficient context. However, for language and terminology professionals this has created new opportunities to position ourselves as key stakeholders in building more reliable agents. This presentation will show you how you can leverage terminology data and methods to improve AI output, and how this helps the business model of terminology: It becomes more efficient AND delivers greater value to your company’s bottom-line.