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 free 90-minute webinar and find out more about:
đŸ”¶ The core distinction: Deterministic vs. probabilistic systems, and why that literacy matters now
đŸ”¶ The TAG framework: How to ground AI outputs in controlled vocabulary and metadata context
đŸ”¶ Futureproofing: How technical writers become architects of knowledge production (not just "word people")
