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Technical TermsDefinition
Large Language Model (LLM)
AI systems trained on vast text data that power conversational assistants and AI search engines.
Full Definition
A Large Language Model (LLM) is an artificial intelligence system trained on enormous amounts of text data to understand and generate human-like text. LLMs power popular AI assistants like ChatGPT, Claude, and Gemini, as well as AI search engines like Perplexity.
Key LLMs Relevant to GEO:
OpenAI GPT Series
- Powers: ChatGPT, Microsoft Copilot
- Training: Web content, books, code
- Key Feature: Strong general knowledge, coding ability
Anthropic Claude
- Powers: Claude.ai, various integrations
- Training: Constitutional AI approach
- Key Feature: Safety focus, long context windows
Google Gemini
- Powers: Gemini, Google AI Overviews
- Training: Multimodal (text, images, code)
- Key Feature: Integration with Google Search
Meta Llama
- Powers: Various open-source applications
- Training: Open weights, customizable
- Key Feature: Self-hostable, privacy-focused
How LLMs Use Your Content:
1. Training Data: Content may be included in training datasets
2. Retrieval Augmented Generation (RAG): Real-time content retrieval
3. Web Browsing: Direct access to current web content
Understanding how different LLMs work helps inform GEO strategy and optimization priorities.
Related Terms
Keywords
large language modelLLMAI modelGPTlanguage model
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