Glossary

Large Language Model (LLM)

In one line: A large language model is the AI behind tools like ChatGPT, Claude, and Gemini. For retail, it’s what powers natural-language chat, content generation, and document understanding.

What it actually is

An LLM is a very large machine-learning model trained on enormous amounts of text. The result is a system that understands and produces human language with surprising fluency. It can answer questions, write content, summarize documents, translate, classify text, and respond to instructions — all without being specifically programmed for each task.

Why retailers should care

LLMs are the building block behind almost every recent AI breakthrough relevant to retail:

• AI customer support that actually understands what customers ask
• Product descriptions, marketing copy, and email content at scale
• Reading and structuring documents (invoices, contracts, reviews)
• Letting your team query business data in plain English (“which SKUs sold most last week”)

What it can’t do

LLMs don’t know things that weren’t in their training data, and they can sound confident while being wrong (hallucination). They work best when grounded in your actual business data via techniques like RAG (Retrieval-Augmented Generation) — pulling real answers from your real systems instead of guessing.

Related terms

Generative AI, Retrieval-Augmented Generation (RAG), Hallucination