Terminology Augmented Generation - How to Teach LLMs Your Corporate Language

Large language models are known to have their advantages. But how can these advantages be used for corporate language, which is so important in the age of content marketing? What is the role of terminology?
These and other aspects are covered in our training courses, which we have developed specifically for individuals and teams in the fields of corporate language, terminology and localization.

Over the course of 3 consecutive training sessions that build on each other, you will learn

  • how neural AI actually works,
  • how to use it in a targeted manner,
  • how terminology methods are integrated into AI workflows
  • and much more

What previous participants say

"This workshop gave me a deep dive into AI technologies which has helped me better understand what our AI teams work on and anticipate what they may need from me."

Amy Grace O'Brien, Adobe

"An exceptionally insightful workshop offering practical takeaways, a must-attend for anyone starting their AI journey."

Johan Lourens, Games Global

The Content

Session 1: Terminology Management in the Age of AI

  • Terminology basis
    • Concept orientation vs. glossary
  • AI-Basics
    • How does neural AI work?
    • Tokenization and Embeddings
    • Prompting
  • Using AI in terminology management:
    • Terminology extraction, synonym clustering, creating concept candidatesGenerate metadata
    • Research

Session 2:  Terminology Augmented Generation – Using Terminology as AI Guiderails

  • How can AI output be „adapted“?
    • RAG – What is Retrieval Augmented Generation and how this can be done in Azure AI
    • TAG – What is Terminology Augmented Generation and how this can be done in Azure using a terminology API
  • Including terminology methods in AI workflows
    • API – What is an Application Programming Interface and how to use it for terminology
    • Function calling, Pipelines and AI-Agents

Session 3: Use Cases for TAG and What Is Next?

  • Use-cases for TAG
    • LLM-based translation
    • Content review and terminology enforcement
    • Content generation based on corporate language in terminology data
  • Using terminology to seed next-level semantic stacks
    • Terminology and taxonomy: Bridging the two
    • Concept maps, ontologies, and knowledge graphs for RAG and GraphRAG
    • How to use terminology as initial starting point for these semantic stacks

Dates

  • February 24, 2025, 2-4 pm
  • March 3, 2025, 2-4 pm
  • March 10, 2025, 2-4 pm

Costs

395 EUR Early Bird (until 7.2.2025)
430 EUR Regular
Plus VAT where applicable

Your course for your specific needs

Do you prefer an in-house workshop tailor-made for your content and company?  Contact us for our special remote inhouse courses. Available in English and German.

Your registration

Your trainers

Terminology Augmented Generation - How to Teach LLMs Your Corporate Language - This course is designed for individuals and teams in corporate language, terminology & localization and co-held by Klaus Fleischmann, CEO Kaleidoscope

Klaus Fleischmann

studied translation and interpreting in Vienna, holds an M.A. in Conference Interpreting from Monterey, California, and an MAS in Technical Communication from Danube University in Krems, Austria. He founded Kaleidoscope GmbH as software and process consulting company for Global Content. In 2007, he became managing director of Austria´s leading LSP, Eurocom Translation Services GmbH.

Christian Lang

has a wide range of experience and interests in the field of languages, as demonstrated by his studies in Japanese and translation. His initial involvement with terminology management was as a freelance translator for the European Patent Office. It has since become one of his areas of expertise, as has research in the field of NLP on topics such as machine translation, automatic term extraction, and concept maps.

Terminology Augmented Generation - How to Teach LLMs Your Corporate Language - This course is designed for individuals and teams in corporate language, terminology & localization an co-held by Christian Lang, Kaleidoscope
Anna Lackner, AI and NLP Engineer at Kaleidoscope

Anna Lackner

Anna Lackner studied Linguistics at the University of Vienna. In her current studies in Multilingual Technologies, she focuses on the interconnection between language, computer science, and artificial intelligence. She works on topics related to Natural Language Processing (NLP) and Generative AI.

Course FAQs

I am completely new to the subject. Can I still attend?

Yes, anyone interested in learning how to leverage terminology and corporate language for AI is welcome. No previous experience necessary.

Who is this course for?

Terminology, corporate language, or localization aficionados wanting to learn about AI and how corporate AI programs can benefit from their terminology.

Why should I book your course?

As a global terminology thought leader, leveraging structured knowledge and corporate language for AI use cases has been on our radar since the emergence of neural machine translation almost 10 years ago.  Who better to understand your pain points and how to overcome them than the creators of the most innovative terminology management software on the market?

What if I cannot make all the dates?

Recordings of all sessions will be made available to registrants for one month after the session.

Can I book sessions individually?

Since the sessions build on one another, we offer them as a bundle only. If you are interested in individual sessions/company workshops, please contact us.

I cannot make the dates advertised. Will you hold this course again?

Please subscribe to our newsletter. As soon as we release new dates, we will communicate them in our Global Content News.

Will there be any course materials?

All sessions will be recorded. Recordings will be made available for one month after the sessions. We will also send you the course slides.

What webinar platform do you use?

We use GotoWebinar. Please check system compatibility here: https://support.goto.com/webinar/help/goto-webinar-system-requirements-for-attendees

Is there anything I need to study in advance?

No. Come as you are – with an open mind, curious, and ready to learn things you can immediately put into practice.

Do I need my own laptop?

Yes, please have your own laptop ready to use during the sessions!

Can I send examples or data in advance?

Yes, it would be great to work with your use cases! We will get in touch after your registration to let you know how you can share your data.

How can I pay for the course?

We accept credit card payment.

How will I receive an invoice?

Once we have received your payment, we will send you an invoice. Please remember to provide us with all the necessary details (especially for corporate invoices) during the registration process.

Any further questions?

Then simply contact us with one click:

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Kaleidoscope: Taking your content global

We combine our expertise and software solutions as well as those of carefully selected technology partners to create the right solutions to enable you to achieve success on the global market with your content. Thanks to our innovations and further developments, we continuously make it easier for you to manage terminology, quality, reviews, queries, and automation.

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