Term explanation
Chain of thought is an AI reasoning technique in which a model explicitly works through intermediate steps before arriving at a final answer. By laying out its reasoning step by step, the model produces more accurate and reliable outputs — especially for complex, multi-part problems. In agentic AI systems, chain-of-thought reasoning is used to plan workflows and make decisions at each stage of an agent loop. For enterprise applications, it increases transparency and makes AI behavior easier to audit.
LIZ AI applies chain-of-thought reasoning when composing or updating presentations: it thinks through the relevant context, data, and brand requirements step by step before generating slide content — producing more accurate, coherent results than single-pass generation.
Learn more →Blended learning combines traditional face-to-face instruction with digital and online learning activities. A typical blended model might include in-person workshops supported by e-learning modules, video content, or discussion boards that learners engage with before or after class. Blended learning gives instructors flexibility to use classroom time for higher-order activities while delegating knowledge transfer to self-paced digital content, improving both efficiency and learner outcomes.
Learn moreFor 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.
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 moreAn 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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