Definition: A model trained on a huge amount of textual data that can understand and generate text.
Simply put: An LLM is the base model, such as GPT, Claude, Gemini, or Qwen, that an Agent uses for reasoning and text generation.
Examples:
- GPT.
- Claude.
- Qwen.
An LLM is a type of artificial intelligence that is trained to understand, generate, and manipulate human language (and other data) by predicting the next most likely word in a sequence.
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Large: This refers to the massive size of the AI. It has billions (sometimes trillions) of internal connections (called “parameters”) and was trained on an enormous dataset—often encompassing a huge portion of the public internet.
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Language: This means the AI is specifically designed to process natural language (the way humans actually speak and write) rather than just computer code or numbers.
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Model: This is the mathematical “brain” of the system. It is a computer program that has learned patterns, grammar, facts, reasoning abilities, and even some common sense from its training data.
An LLM is the brain. When you interact with it through a chat window, that overall product is called a chatbot or an AI assistant. The LLM is the underlying engine that makes the assistant smart.