What is LLM (Large Language Model)?
A deep learning model trained on large text corpora that can generate, understand, and reason with language.
Definition
A Large Language Model (LLM) is a neural network trained on vast quantities of text that has learned to generate coherent, contextually relevant language. LLMs like GPT-4, Claude, and Gemini underpin most modern AI applications. They can write, summarize, translate, answer questions, write code, and reason — though they operate turn-by-turn without inherent memory or the ability to take real-world actions on their own.
Example
GPT-4o is an LLM. It answers questions impressively but can't check your calendar, send a Slack message, or run on a schedule. AI agents use LLMs as their reasoning core but add tools, memory, and scheduling on top.
LLM (Large Language Model) vs ai-agent: What's the difference?
A deep learning model trained on large text corpora that can generate, understand, and reason with language.
An LLM is the reasoning engine. An AI agent wraps an LLM with tools, memory, and scheduling to take autonomous action.