pre-training

In the realm of machine learning, pre-training is a crucial step that involves the exposure of a model to a vast and diverse dataset. This process enables the model to learn and understand general features, patterns, and representations that are applicable across multiple domains. This foundational knowledge subsequently aids the model in extracting vital information from new data and adapting to specific tasks via a process known as fine-tuning.