Generative AI

Generative AI

Term explanation

Definition and meaning

Generative AI refers to artificial intelligence systems that create new content — such as text, images, code, or structured data — in response to a prompt or task, rather than simply analyzing or classifying existing information. Powered by large language models and other foundation models, generative AI can write documents, summarize reports, produce slide content, and translate data into natural language. In enterprise settings, it is the core technology behind modern AI assistants, document automation tools, and presentation generators. A presentation-specific evolution of generative AI is the Large Presentation Model (LPM), which combines generative capabilities with enterprise context, brand guidelines, and the full presentation cycle.

LIZ AI applies generative AI directly to the presentation workflow: it turns data, context, and company knowledge into structured, brand-compliant PowerPoint slides — automatically and at scale.

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Other glossary terms

.ppsm file extension

A .ppsm file is a macro-enabled PowerPoint slideshow that opens directly in presentation mode and supports embedded VBA macros. It combines the instant-launch behavior of .ppsx files with the automation capabilities of macro-enabled formats. This makes .ppsm files useful for interactive or automated presentations, though they carry the same security considerations as other macro-enabled Office formats.

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.potm file extension

A .potm file is a macro-enabled PowerPoint template that combines the reusable layout and formatting of a standard template with embedded VBA macros. It allows organizations to distribute presentation templates that include automated functionality — such as auto-populating fields or enforcing formatting rules — while maintaining a consistent visual identity. Like .pptm files, .potm files should be handled carefully due to their macro capabilities.

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Internal Preview

An internal preview is a brief statement placed at the start of a new section within a presentation that signals what is coming next. It acts as a mini roadmap within the talk, preparing the audience for the upcoming content and helping them follow the structure. Together with internal summaries, internal previews create a strong narrative skeleton that keeps listeners oriented and engaged, even in presentations that cover multiple distinct topics.

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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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