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. In contrast, the Large Presentation Model (LPM) is a specialised AI system that orchestrates the entire presentation cycle in an enterprise context.
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 →SmartArt is a built-in feature in Microsoft PowerPoint (and other Office applications) that converts text and data into visual diagrams — such as process flows, hierarchies, cycles, and relationship maps — with a single click. SmartArt removes the need to manually draw and align shapes, making it easy to create professional-looking visuals quickly. It is particularly useful for illustrating organizational structures, project workflows, and strategic frameworks in presentations.
Learn moreA personal response system (PRS) — also called an audience response system or clicker system — allows individual participants to respond to questions or vote in polls during a presentation or class. Each participant uses a handheld device or smartphone to submit their answer, and results are aggregated and displayed instantly. PRS technology is used in lectures, corporate training, and conferences to increase participation, gauge understanding, and make sessions more interactive.
Learn moreOnline communication encompasses all forms of information exchange that take place over digital networks — including email, instant messaging, video calls, social media, webinars, and collaborative platforms. It has become the dominant mode of professional communication, enabling global teams to collaborate in real time regardless of location. Online communication introduces unique challenges around tone, response time, information overload, and the loss of non-verbal cues, all of which require deliberate attention to maintain clarity and connection.
Learn moreAI grounding is the process of anchoring an AI system's outputs to verified, real-world data rather than relying solely on knowledge encoded during model training. A grounded AI retrieves relevant, up-to-date information from external sources before generating a response. This significantly reduces the risk of AI hallucinations and ensures that outputs are accurate, current, and contextually relevant — a critical requirement for enterprise AI applications where factual reliability is non-negotiable. Grounding is a core technique used in LLM-powered systems.
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