Large Language Model
LLM
A deep-learning neural network pretrained on extensive text data to understand and generate language in a humanlike form.
The point in time through which a pretrained language model’s training data was collected. Learn how it works and what to consider in practice.
지식 컷오프
A Knowledge Cutoff marks the end of the period covered by an LLM’s training-data collection. Events and statistics published afterward may be absent from its internal knowledge, potentially leading to guesses or outdated answers presented as facts. AI services can compensate by combining a model with live web retrieval or RAG. When publishing current news or statistics, creators should clearly specify publication dates and reference years so that AI systems can identify the information’s time context.
Information published after the cutoff requires external retrieval when it is not available in the model’s internal knowledge.
State explicit publication dates and reference years when discussing current news or statistics.
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.
할루시네이션
A phenomenon in which an AI language model invents false information or sources and presents them as plausible facts.
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.