Pretraining

Pretraining refers to the process of training a machine learning model on a large dataset before fine-tuning it for a specific task, allowing the model to develop a broad understanding and improve its performance on downstream tasks. This technique is particularly relevant in the tech community as it has become a crucial step in developing state-of-the-art natural language processing and computer vision models, enabling them to learn generalizable features and representations that can be adapted to a wide range of applications.