Training
The process of supplying data (often in large quantities) to a model so that it can identify patterns and make predictions.
Also called
- Model training
Kinds
- Fine-tuning A further round of training that adapts a pretrained model to specific tasks or a particular domain.
- Post-training The later stage of training that shapes how a model acts and behaves to match its creators' intentions, and builds skills such as following instructions, reasoning, and coding.
- Pretraining The first and largest stage of the training process that involves supplying broad or general data for a model to learn from.
Often confused with
- How AI uses our data The ways an AI system can use your company's data: reading it during a task, which leaves the model unchanged, or training on it, which changes the model.
The other half
- Inference The act of running a trained model to produce an output from inputs, as opposed to training it.
How it connects
- Training makes Foundation model