An LLM reads a request written in plain language, keeps track of the conversation and answers in coherent natural language.
How to use the term
What to read alongside
This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.
Glossary section
The basics you need to discuss an LLM product seriously: how a model reads a request, why context matters and where controllable answers come from.
What it is
An LLM reads a request written in plain language, keeps track of the conversation and answers in coherent natural language.
Example in ecommerce
A shopper describes the job in their own words, and the assistant turns it into concrete product requirements: type, specs, price range and constraints.
Business impact
Shortens the path from question to a relevant shortlist and lifts the share of sessions that reach a product page and the cart.
A fit for terms about search by meaning, the architecture behind the results and product discovery.
Shows how AI terms turn into a real decision flow inside the product page.
Collects the product scenarios in one place and is the starting point for a demo.
We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.