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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Task Decomposition
Task decomposition is the process by which an AI agent breaks down a complex, high-level goal into a sequence of smaller, manageable subtasks. The agent identifies dependencies between steps, determines what tools or data each step requires, and decides which subtasks can run in parallel. Task decomposition is a fundamental capability of Agentic AI systems and is central to how an agent loop executes multi-step workflows reliably.
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Instructive Presentations
Instructive Presentations are similar to informative presentations, but it's more than just giving informations. People attend instructive presentations to learn something new and to understand the topic of the presentation better.
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Extemporaneous Speech
An extemporaneous speech is a speech that involves little preparation, as the speaker may use notes or cards to give his talk. It is important that speakers will still use their own words and talk naturally. .
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