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Large Language Model (LLM)

Reviewed 19 July 2026Canonical definitionPart of: AI Agent Fundamentals →

A large language model is a neural network trained on vast amounts of text data that can generate, summarise, translate, and reason about natural language. LLMs are the foundation of most agentic AI systems and their behavior is shaped by training data, fine-tuning, and prompting.

§01 / QUESTIONSterm: Large Language Model (LLM)
Questions

Common questions.

What is Large Language Model (LLM)?

A large language model is a neural network trained on vast amounts of text data that can generate, summarise, translate, and reason about natural language.

How does Large Language Model (LLM) work?

LLMs are the foundation of most agentic AI systems and their behavior is shaped by training data, fine-tuning, and prompting.

Which terms are related to Large Language Model (LLM)?

Closely related concepts include Foundation Model, Emergent Behavior, OWASP Top 10 for LLM Applications, Model Factsheet. Each is defined in the Prefactor glossary.

§02 / RELATEDnext: where this fits
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Where this fits.

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