llm
LLM (Large Language Model) is a neural network behind ChatGPT, Claude and Gemini. How it works, why it’s wrong and what it means for SEO and content marketing.
Large Language Model is a type of neural network trained on huge volumes of text. The model learns to predict the next token in sequence and as a result acquires the ability to generate coherent text, answer questions and reason.
Digital LLMs are at the heart of ChatGPT, Claude, Gemini and search AI blocks. It is important for an SEO to understand that an LLM does not look for facts in a database – it generates plausible text that may contain errors. Hence hallucinations and the need to verify AI content before publishing.
Related terms
Fine-tuning (model training)
Fine-tuning – additional LLM training on highly specialized data. What is it, what is different from RAG and what approach is more important for GEO promotion.
Artificial intelligenceRAG (Retrieval-Augmented Generation)
RAG is an AI architecture in which a model searches for data from external sources before responding. Learn how it works and why it’s important for GEO.
Artificial intelligenceLLM hallucination
LLM hallucination is when an AI generates compelling but false text. What is it, why does it arise, and how does it affect SEO and AI search?
Artificial intelligenceContext Window (Context Window)
Context window is the volume of text that a language model sees at a time. How the token limit works and why dense content is more likely to fall into AI search responses.
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