Large language model

Large language model (LLM)

AI

A large language model (LLM) is an AI model trained on vast amounts of text to understand and write language, and the reasoning engine inside most AI agents.

What is Large language model?

An LLM predicts text: given what came before, it produces the most fitting continuation. At large scale, that ability becomes answering questions, summarizing, writing and following instructions. GPT, Claude, Gemini and Grok are families of LLMs. An LLM on its own is not an agent. It has no access to your orders, cannot take actions and only knows what was in its training data or the conversation. An AI agent wraps an LLM with tools, data, memory and rules, so it can look things up, act and check its results. Models differ in speed, cost and how well they handle long, multi-step work. Many agent products let you choose the model, or use different models for different parts of the job.

Example

For example, an LLM alone can write a friendly reply about a late order but cannot know where the order is. An agent built on that LLM looks up the tracking, sees the carrier delay and writes a reply with the real delivery date.

Why Large language model Matters

The LLM sets the ceiling on how well an agent reasons and writes, while the tools and rules around it decide what the agent can safely do.

Large language model FAQ

What does LLM stand for?

Large language model: an AI model trained on large amounts of text to understand and generate language.

Is ChatGPT an LLM?

ChatGPT is an app built on OpenAI's GPT family of large language models. The app adds a chat interface, tools and memory around the model.

Explore More Terms

Browse our complete glossary of e-commerce and subscription terms.

Space, at your fingertips

What would you do with 22% more revenue?