The simplest definition is that training is about learning something, and inference is applying what has been learned to make predictions, generate answers and create original content. However, ...

Training an AI model is performed in two stages: pre-training and fine tuning. In the pre-training phase, the model is fed millions and billions of text samples to learn general language and facts.