Large Language Model (LLM)
AI systems trained on massive text datasets to understand and generate human-like text, powering tools like ChatGPT and Claude.
Definition
A Large Language Model (LLM) is a type of artificial intelligence trained on vast amounts of text data to understand, generate, and manipulate human language. These models use neural networks with billions of parameters to predict and generate text based on input prompts.
Popular LLMs include OpenAI's GPT-4, Anthropic's Claude, Google's Gemini, and Meta's Llama. They power chatbots, content generation tools, coding assistants, and increasingly, AI-powered search engines.
Why It Matters
LLMs are transforming how people find information and interact with technology. For marketers, understanding LLMs is essential for GEO strategy—knowing how these models process and cite information directly impacts content visibility.
As LLMs become the interface between users and information, brands must adapt their content strategy to be discoverable by these systems.
Examples in Practice
ChatGPT uses GPT-4, an LLM, to answer user questions by generating contextually relevant responses based on its training data and retrieved information.
Claude, built by Anthropic, is an LLM designed with a focus on safety and helpfulness, used for everything from customer service to content creation.