Training is not the same as using
During training, a model’s parameters — billions of numbers — are adjusted to reduce errors on a task such as predicting the next token. Inference uses those fixed parameters to produce outputs. A normal conversation does not change the model itself; whether chats are later used for training depends on the provider’s policy.
MAKE IT CONCRETE
Learning to play piano is training. Playing a piece is closer to inference.
Conversation context and permanent learning are different things.
CHECK YOURSELF