Prompt Engineering

Prompt Engineering

Term explanation

Definition and meaning

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.

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Other glossary terms

Notes Page view

The Notes Page view in PowerPoint shows a smaller version of the slide with a small area for notes underneath. In the presentation every slide has it's own space for notes. During the presentation the notes do not appear on screen. They are just visible in the presentation mode.

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.ppt file extension

A .ppt file is a presentation created with Microsoft PowerPoint, containing slides with text, images, animations, and transition effects. The .ppt format is the legacy binary version of PowerPoint's native format, predating the XML-based .pptx format introduced with Office 2007. While .pptx has since become the standard, .ppt files remain widely supported for backwards compatibility across modern presentation software.

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Large Language Model (LLM)

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.

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Master view

Master View in PowerPoint allows presenters to edit the Slide Master — a top-level template that controls the default fonts, colors, backgrounds, and layouts applied across all slides in a presentation. Changes made in Master View propagate automatically to every slide that uses that layout, making it the most efficient way to apply brand guidelines and maintain visual consistency across large presentations. Master View is essential for template creation and company-wide design standardization.

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