From NLP to Technical Language Processing (TLP) Slides

Narrow AI systems have achieved super-human performance in Natural Language Processing (NLP) - this is at least, what some big companies state and publish. But in most applications, specifically in industrial context, we cannot observe a major adoption of NLP methods. Domain-specific data, technical terms, and expectations for perfect performance are hindering the wide-spread use of NLP. This tutorial will give a short overview of the recent developments in NLP and introduces into the area of technical language processing. Methods for dealing with technical terms, adapting to specific domains, and integrating log data and sensor values will be presented. Furthermore, this tutorial presents langchain and it's usage in practice to create context-aware, reasoning large language model applications in industrial contexts and beyond.