Term explanation
A tutorial is a structured learning resource that guides a learner step by step through a process, concept, or skill. Tutorials can take many forms — written guides, video walkthroughs, interactive modules, or one-on-one coaching sessions. Unlike formal courses, tutorials tend to be focused on practical application, helping learners achieve a specific outcome quickly. They are widely used in software onboarding, technical training, and skill development platforms.
Find step-by-step tutorials for SlideLizard LIVE, SlideLizard CREATOR, and LIZ AI on our blog — from setting up your first live poll to managing a company-wide slide library.
Learn more →AI grounding is the process of anchoring an AI system's outputs to verified, real-world data rather than relying solely on knowledge encoded during model training. A grounded AI retrieves relevant, up-to-date information from external sources before generating a response. This significantly reduces the risk of AI hallucinations and ensures that outputs are accurate, current, and contextually relevant — a critical requirement for enterprise AI applications where factual reliability is non-negotiable. Grounding is a core technique used in LLM-powered systems.
Learn moreMicrolearning delivers educational content in short, focused segments — typically between 3 and 10 minutes. Rather than completing a lengthy course, learners engage with bite-sized units that cover a single concept or skill. Microlearning is effective for knowledge reinforcement, mobile training, and just-in-time learning. It fits naturally into busy workdays and is widely used in corporate onboarding, compliance training, and professional development programs.
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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