“Training” refers to a process where training data is passed backwards through a model in order to modify the model’s weights. This happens before the model is deployed to the public. Search happens at (or right before) inference time (i.e. when the model is actually used) and does not modify the model weights.
That’s a definitional question. What counts as “training”? Is “search” different from training? Sometimes, but it depends what you mean.
“Training” refers to a process where training data is passed backwards through a model in order to modify the model’s weights. This happens before the model is deployed to the public. Search happens at (or right before) inference time (i.e. when the model is actually used) and does not modify the model weights.
Of course they are different. You can guess because we even have two different words for it