Term explanation
A large language model (LLM) is an AI system trained on vast amounts of text data that can understand, generate, and transform language at a human-like level. LLMs power a wide range of applications — from chatbots and writing assistants to automated document creation and data summarization. In enterprise software, LLMs are increasingly embedded into workflows to interpret unstructured data, draft content, and translate information between systems automatically.
LIZ AI leverages large language models to intelligently compose and update presentation content — turning raw data and context into structured, on-brand slides without manual writing.
Learn more →An adaptive presentation is a slide deck that automatically adjusts its content, structure, or length based on context — such as the intended audience, available time, or communication goal. Rather than maintaining separate versions of the same deck, adaptive presentations use AI to derive the right variant on demand. They are a practical application of AI-powered workflows in the presentation layer, and are closely related to the living presentation concept — combining dynamic content with audience-aware adaptation.
Learn morePrompt engineering is the practice of crafting and refining the instructions given to an AI system in order to produce better, more accurate, or more useful outputs. A well-engineered prompt provides clear context, specifies the desired format, and sets constraints that guide the model toward the intended result. In the context of presentation tools, prompt engineering determines how effectively a user can instruct an AI to generate the right slide structure, tone, and content — making it a practical skill for anyone working with generative AI tools.
Learn moreA hybrid event is an event that combines an in-person component with a simultaneous virtual component, allowing both on-site and remote participants to attend. The challenge of hybrid events is delivering a consistent, engaging experience for both audiences at the same time. Hybrid events require careful technical setup — including streaming infrastructure, engagement tools, and moderation — and have grown significantly as remote participation became standard in corporate and conference settings.
Learn more
