Training is the learning phase of an AI. The model sees a huge number of examples and keeps adjusting until its answers are good enough.
Example
During training a language model reads billions of sentences and learns how language works.
For pros
Pre-training creates the base model. Post-training with examples and feedback usually follows. Training needs a lot of compute on GPUs or similar specialised chips and is usually the most expensive step in developing a model.
