Large Language Model
LLM
A deep-learning neural network pretrained on extensive text data to understand and generate language in a humanlike form.
A phenomenon in which an AI language model invents false information or sources and presents them as plausible facts. Explore its practical uses.
할루시네이션
Hallucination occurs when a language model fabricates information, statistics, papers or quotations that do not exist. Confident phrasing makes these errors particularly difficult for users to recognize. The limitation arises because an LLM predicts statistically plausible tokens rather than functioning as an inherent fact-verification system. Grounding outputs in real documents through RAG and requiring human fact-checking in accuracy-sensitive areas such as law and medicine are important mitigation measures.
A major risk to the credibility of AI-generated content and the accuracy of business decisions.
Use RAG with verified external knowledge and establish a thorough fact-checking process.
LLM
A deep-learning neural network pretrained on extensive text data to understand and generate language in a humanlike form.
RAG
A technique that retrieves current information from external documents or the web and adds it to an LLM prompt to support accurate answers.
AEO
A strategy for optimizing content so that brands and their content can be cited in the single answers generated by AI search systems or voice assistants.
AI Mode
A search engine mode that replaces a results-list interface with conversational AI answers and interactive exploration.
AI Overviews
A Google Search feature that synthesizes multiple web sources into an AI-generated summary with source links at the top of the results page.
AI 가시성
The frequency and share of brand appearances in answers from generative AI platforms such as ChatGPT, Claude and Perplexity.