Alignment is the set of methods that make model behavior more useful, safe and predictable, including instruction tuning and reinforcement learning from human feedback.
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
Alignment is the set of methods that make model behavior more useful, safe and predictable, including instruction tuning and reinforcement learning from human feedback.
Example in ecommerce
In eCommerce that means the assistant does not invent facts, does not argue with catalog data and keeps its tone inside brand guidelines.
Business impact
Builds trust in the dialogue, lowers reputational risk and makes AI scenarios easier to ship to production.
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.