Term explanation
Agent memory refers to an AI agent's ability to retain and recall information across tasks and sessions. Two types are commonly distinguished: short-term memory, which holds context within a single agent loop interaction, and long-term memory, which persists across sessions and stores facts, preferences, and historical decisions. Memory is what transforms a stateless AI tool into a context-aware agent that produces increasingly relevant results over time — a core requirement for production Agentic AI deployments.
LIZ AI maintains memory of your presentation environment: it knows your brand rules, your recurring deck structures, and your data sources — so every new presentation benefits from the context built up over previous interactions.
Learn more →A classroom communication system is a technology platform that enables real-time two-way interaction between instructor and students during a class or presentation. It typically supports live polls, Q&A, quizzes, and feedback tools accessible via student devices. By facilitating ongoing dialogue rather than one-way delivery, classroom communication systems increase participation, surface misunderstandings early, and create a more dynamic learning environment for both in-person and hybrid settings.
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.
Learn moreAnimations in PowerPoint are visual effects that are applied to different items like graphics, title or bullet points, instead of the slides. There are many different animations like: Appear, Fade, Fly in.
Learn moreGenerative 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.
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