Term explanation
AI hallucination describes the phenomenon where an LLM confidently produces content that is factually incorrect, fabricated, or entirely made up — presented as though it were true. Hallucinations occur because language models generate statistically probable text based on training patterns, without access to verified facts. In enterprise contexts, hallucinations in presentations are a serious risk. AI grounding — anchoring outputs to verified company data — is the primary strategy for preventing hallucinations in production AI systems.
LIZ AI is built to eliminate hallucinations in presentations. By grounding every slide in verified data from your connected enterprise systems, LIZ ensures that what appears in your deck is always accurate and traceable.
Learn more →Mobile learning (mlearning) refers to educational content and experiences delivered on smartphones, tablets, or other portable devices. It makes learning accessible anywhere and at any time, without requiring a desk or desktop computer. Mlearning formats include short videos, podcasts, interactive quizzes, and microlearning modules optimized for smaller screens. It is particularly effective for field-based workers, distributed teams, and learners with irregular schedules.
Learn moreCorporate identity compliance (CI compliance) describes the degree to which communications materials — such as presentations, documents, and marketing assets — adhere to a company's defined brand guidelines. This includes the correct use of colors, typography, logos, imagery, and language. Maintaining CI compliance is a significant challenge in organizations where many employees create their own materials, often without centralized oversight. AI tools are increasingly used to automate compliance checks and corrections at scale.
Learn moreAI 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 moreWeb-based training (WBT) refers to any structured learning program delivered via a web browser, without requiring software installation. WBT courses are accessible from any device with an internet connection, making them ideal for remote teams and distributed workforces. They typically include multimedia content, interactive exercises, and assessments. Web-based training is a subset of e-learning and is widely used for corporate training, compliance programs, and certification courses.
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