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

Manuscript Speech

For a manuscript speech, the speaker has an entire manuscript to read from. The benefit is that, as every single word is scripted, no important parts will be missed. However, speeches that are fully written down often seem unnatural and may bore the audience.

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Persuasive Presentations

A persuasive presentation is designed to change the audience's opinion, attitude, or behavior. The presenter builds a case using evidence, logic, and emotional appeal to move the audience toward a specific conclusion or action. Persuasive presentations are common in sales pitches, political speeches, fundraising campaigns, and change management initiatives. They differ from informative presentations in that they take a deliberate position and actively seek buy-in.

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Personal Response System (PRS)

A 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.

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Process Questions

Process questions ask participants to explain how something works, how a decision was made, or how a result was reached — rather than simply what the answer is. They focus on reasoning, methodology, and the steps taken to arrive at an outcome. In training, coaching, and facilitated workshops, process questions help participants reflect on their thinking and deepen their understanding. They are more cognitively demanding than recall questions and are effective for developing critical thinking and problem-solving skills.

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