Definition
What it means
Post-training is the umbrella for supervised fine-tuning, preference optimization, reinforcement learning, safety tuning, and related methods applied after a base model has been pretrained.
Why it matters
Role in the system
A capable base model does not automatically follow instructions, use tools well, or behave consistently.
Example
In practice
Experts write and grade complex finance tasks to improve a model's professional reasoning.