Term explanation
Prompt 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.
With LIZ AI, much of the prompt engineering happens automatically in the background — so users don't need to master complex instructions. LIZ interprets intent and context to generate presentation content that fits, without requiring technical expertise.
Learn more →A title slide is the opening slide of a presentation, typically displaying the title, subtitle, presenter name, date, and company or event branding. It is the first thing the audience sees and sets the visual and tonal expectations for everything that follows. A strong title slide creates a professional first impression, establishes brand identity, and frames the topic clearly. It is often displayed on screen before the presentation begins as attendees are taking their seats.
Learn moreA speech that is given without any preparation, notes, or cards, is called an impromptu speech. It is often delivered at private events (e.g., weddings or birthdays) or for training presentation skills.
Learn moreCo-located Audience means that the speaker talks to the audience in person. It is used verbal and non-verbal methods to communicate a message. The speaker makes gestures with their hands, changes their face expression and shows images.
Learn moreA 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.
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