LLM (large language model) — definition and meaning
A large language model (LLM) is an AI system trained on vast amounts of text to predict and generate human-like language. LLMs power AI companions, chatbots, and assistants like ChatGPT, Claude, and Gemini.
Last reviewed 2026-05-25
A large language model is a neural network trained on enormous text corpora to predict the next token in a sequence — which, at scale, produces fluent conversation, reasoning, and writing. LLMs (GPT, Claude, Gemini, Llama) are the engine under every modern AI companion. Crucially, the model itself has no memory between conversations; persistent memory is a separate system built on top. Understanding that distinction explains why two AI girlfriends using the same underlying model can feel completely different — the difference is the engineering around the model, not the model.
About llm (large language model).
What is llm (large language model)?
A large language model (LLM) is an AI system trained on vast amounts of text to predict and generate human-like language. LLMs power AI companions, chatbots, and assistants like ChatGPT, Claude, and Gemini.
How is "llm (large language model)" used in AI companion apps?
A large language model is a neural network trained on enormous text corpora to predict the next token in a sequence — which, at scale, produces fluent conversation, reasoning, and writing. LLMs (GPT, Claude, Gemini, Llama) are the engine under every modern AI companion. Crucially, the model itself has no memory between conversations; persistent memory is a separate system built on top. Understanding that distinction explains why two AI girlfriends using the same underlying model can feel completely different — the difference is the engineering around the model, not the model.
What other terms relate to llm (large language model)?
Related terms in the AI companion space include: Context window, Long-term memory (in AI companions), AI companion, Hallucination (AI). Each has its own glossary entry on /glossary.
- Context window
A context window is the maximum amount of text — measured in tokens — an AI model can consider at once. Anything beyond it is forgotten unless stored and re-supplied by a separate memory system.
- Long-term memory (in AI companions)
An AI companion's ability to recall facts and context from prior conversations across days, weeks, and months.
- AI companion
Umbrella term for AI products built around ongoing one-on-one relationships — romantic, platonic, or supportive.
- Hallucination (AI)
An AI hallucination is when a model generates information that sounds confident and plausible but is factually wrong or invented. A core limitation of large language models.