Large Language Model (LLM)

Large Language Model (LLM)

Term explanation

Definition and meaning

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.

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Other glossary terms

Vocal distractions

Vocal distractions are habits or patterns in a speaker's voice that draw attention away from the content of a message. These include filler words like 'um' and 'uh', monotone delivery, excessive speed or slowness, a rising intonation at the end of statements (upspeak), and throat-clearing. Vocal distractions reduce the impact and perceived professionalism of a presentation. They can typically be addressed through targeted public speaking practice, recording and self-review, and professional coaching.

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Orchestrator Agent

An orchestrator agent is a specialized AI agent that coordinates and directs the work of other agents — rather than executing tasks directly itself. In a multi-agent system, the orchestrator receives a high-level goal, uses task decomposition to break it into subtasks, assigns them to specialist agents, monitors progress, and assembles the final output. This pattern enables reliable automation of complex, multi-step enterprise workflows.

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AI Presentation Maker

An AI presentation maker is a tool that uses artificial intelligence to automatically generate, structure, and design slide decks based on user input — such as a topic, a text document, or a data file. Most AI presentation makers follow a similar process: the AI analyzes the input, builds a logical slide structure, applies a suitable layout and design, and populates the content. Advanced AI presentation makers go beyond one-time generation: they connect to live data sources, adapt decks to different audiences, and keep presentations updated automatically over time.

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Agentic AI

Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.

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