Few words have characterised the year 2023 as much as “AI”.
But what does this buzzword actually mean for translation and language processes? Has the time now come for the relatively new technology of neural machine translation (NMT) to take a step back, and for large language models (LLMs) to take centre stage?
Are you still typing or are you already prompting?
How does this change the way that professional translators work?
A human at the helm, AI as the co-pilot. But what exactly could this look like in day-to-day translation?
This will be the focus of our hour-long webinar.
Opportunities and challenges of large language models
Specifically, this involves the question of how these new language technologies can be used to optimise core processes in the translation industry, including quality assurance, post-editing and terminology management.
In addition to discovering a strategic approach to prompt engineering , you will also, through a series of practical examples, learn how CAT tools must be set up in the future in order to optimally support language experts in their work.
Prior knowledge: Basic knowledge of CAT tools and machine translation
MT expertise from STAR
The speaker, Julian Hamm, who holds a masters in translation, has been working in the language services since 2018. In his role as Machine Translation Consultant at STAR Deutschland GmbH, he coordinates the implementation of MT-based workflows and delivers expert advise, both within STAR and to external clients, on the exciting topics of MT and language technologies.
Humans at the helm, AI as the co-pilot – curious to see what the future holds? Book your place for the tekom webinar under Veranstaltungen (tekom.de) and get on board on 14th March 2024 at 4.30 p.m. (CET). Please note that this webinar will be held in German only.
See you there! – Sign up today!
