Bitte beachten Sie, dass dieses Webinar auf Englisch abgehalten wird!
Probabilistic creativity is powerful. Deterministic governance is essential.
In technical documentation, you need both.
Large Language Models generate the most likely next words – not verified facts. Without guardrails, they can produce fluent, confident content that's simply wrong. That's a risk for safety, compliance, consistency, and brand trust.
In our upcoming CIDM webinar, Klaus Fleischmann will share a hybrid approach that connects deterministic documentation systems (metadata, taxonomies, workflows, approvals) with generative AI in a way that's actually controllable: Terminology–Augmented Generation (TAG).
By injecting controlled vocabularies and metadata context directly into the generation process, TAG helps keep AI outputs aligned with approved terminology, rules, and intent – across use cases like content creation, translation, term verification, and chatbots.
Join us for this 90-minute webinar and find out more about:
🔶 The core distinction: Deterministic vs. probabilistic systems, and why that literacy matters now
🔶 The TAG framework: How to ground AI outputs in controlled vocabulary and metadata context
🔶 Futureproofing: How technical writers become architects of knowledge production (not just "word people")
