Term explanation
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.
LIZ AI grounds every presentation in your actual company data. By connecting directly to your enterprise systems, it ensures that every figure, update, and insight in a slide is pulled from a verified source — not generated from memory.
Learn more →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.
Learn moreA .potx file is a file which contains, styles, texts, layouts and formatting of a PowerPoint (.ppt) file. It's like a template and useful if you want to have more than one presentation with the same formatting.
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