The use of artificial intelligence is becoming increasingly important in technical communication. In order to offer our customers the best possible solutions for AI-based text and language technology applications, parson has started a cooperation with the Hamburg-based technology provider LangTec. LangTec develops innovative language technology solutions for the efficient processing of large amounts of text and data with special focus on AI and machine learning.

“LangTec’s know-how and many years of experience with machine learning and artificial intelligence perfectly complement our expertise in the field of technical documentation. Together we can develop the best possible solutions for the use of artificial intelligence in technical communication,” says Ulrike Parson, CEO of parson AG.

“We are very pleased about this close cooperation with parson AG. As one of the leading providers of AI-based language technology in the German-speaking market, it is particularly important for us to work with established players who are ready to put custom text analytics solutions into production. AI becomes valuable when it helps to gain concrete competitive advantages,” says Dr. Patrick McCrae, founder and managing director of LangTec.

About parson

parson is a leading service provider of smart content and intelligent information solutions. parson AG advises its customers on the digitalization of content processes and the introduction of a sustainable content strategy. For products, software and services, parson delivers semantically enriched, modular content such as user documentation, programming instructions, online help, eLearning content and specifications.


Fine-Tuning of a Language Model

To kick off the partnership with LangTec, parson presents a pilot project at this year’s tcworld conference 2023. This model projects deals with the fine-tuning of a Large Language Model (LLM) and was realized jointly with LangTec.

In their presentation, Helle Hannken-Illjes and Ulrike Parson show first results of the domain-specific fine-tuning of a pre-trained large language model (LLM) on customer-specific data. The presented model can be operated locally and is hence also perfectly suited for processing sensitive customer data:

AI yes, but not ChatGPT! How do I get my own language model? (in German)

Helle Hannken-Illjes and Ulrike Parson, presentation

tcworld 2023, November 15, 2023, 9.00 a.m., room C6.2

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